result_mcdnn_slice1.txt

... train 0 column of normalization 0
... num_epochs 400
... loading data
Loaded DS on RAM
... (un)padding digits from 28 -> 29
... sharing data
... building the dnn column
... training
training @ iter =  0
training @ iter =  100
training @ iter =  200
training @ iter =  300
training @ iter =  400
training @ iter =  500
training @ iter =  600
training @ iter =  700
training @ iter =  800
training @ iter =  900
training @ iter =  1000
training @ iter =  1100
training @ iter =  1200
training @ iter =  1300
training @ iter =  1400
training @ iter =  1500
training @ iter =  1600
training @ iter =  1700
training @ iter =  1800
training @ iter =  1900
training @ iter =  2000
training @ iter =  2100
training @ iter =  2200
training @ iter =  2300
training @ iter =  2400
training @ iter =  2500
training @ iter =  2600
training @ iter =  2700
training @ iter =  2800
training @ iter =  2900
training @ iter =  3000
training @ iter =  3100
training @ iter =  3200
training @ iter =  3300
training @ iter =  3400
epoch 1, minibatch 3500/3500, validation error 1.400000 %
     epoch 1, minibatch 3500/3500, test error of best model 1.160000 %
training @ iter =  3500
training @ iter =  3600
training @ iter =  3700
training @ iter =  3800
training @ iter =  3900
training @ iter =  4000
training @ iter =  4100
training @ iter =  4200
training @ iter =  4300
training @ iter =  4400
training @ iter =  4500
training @ iter =  4600
training @ iter =  4700
training @ iter =  4800
training @ iter =  4900
training @ iter =  5000
training @ iter =  5100
training @ iter =  5200
training @ iter =  5300
training @ iter =  5400
training @ iter =  5500
training @ iter =  5600
training @ iter =  5700
training @ iter =  5800
training @ iter =  5900
training @ iter =  6000
training @ iter =  6100
training @ iter =  6200
training @ iter =  6300
training @ iter =  6400
training @ iter =  6500
training @ iter =  6600
training @ iter =  6700
training @ iter =  6800
training @ iter =  6900
epoch 2, minibatch 3500/3500, validation error 1.030000 %
     epoch 2, minibatch 3500/3500, test error of best model 0.910000 %
training @ iter =  7000
training @ iter =  7100
training @ iter =  7200
training @ iter =  7300
training @ iter =  7400
training @ iter =  7500
training @ iter =  7600
training @ iter =  7700
training @ iter =  7800
training @ iter =  7900
training @ iter =  8000
training @ iter =  8100
training @ iter =  8200
training @ iter =  8300
training @ iter =  8400
training @ iter =  8500
training @ iter =  8600
training @ iter =  8700
training @ iter =  8800
training @ iter =  8900
training @ iter =  9000
training @ iter =  9100
training @ iter =  9200
training @ iter =  9300
training @ iter =  9400
training @ iter =  9500
training @ iter =  9600
training @ iter =  9700
training @ iter =  9800
training @ iter =  9900
training @ iter =  10000
training @ iter =  10100
training @ iter =  10200
training @ iter =  10300
training @ iter =  10400
epoch 3, minibatch 3500/3500, validation error 0.900000 %
     epoch 3, minibatch 3500/3500, test error of best model 0.790000 %
training @ iter =  10500
training @ iter =  10600
training @ iter =  10700
training @ iter =  10800
training @ iter =  10900
training @ iter =  11000
training @ iter =  11100
training @ iter =  11200
training @ iter =  11300
training @ iter =  11400
training @ iter =  11500
training @ iter =  11600
training @ iter =  11700
training @ iter =  11800
training @ iter =  11900
training @ iter =  12000
training @ iter =  12100
training @ iter =  12200
training @ iter =  12300
training @ iter =  12400
training @ iter =  12500
training @ iter =  12600
training @ iter =  12700
training @ iter =  12800
training @ iter =  12900
training @ iter =  13000
training @ iter =  13100
training @ iter =  13200
training @ iter =  13300
training @ iter =  13400
training @ iter =  13500
training @ iter =  13600
training @ iter =  13700
training @ iter =  13800
training @ iter =  13900
epoch 4, minibatch 3500/3500, validation error 0.850000 %
     epoch 4, minibatch 3500/3500, test error of best model 0.780000 %
training @ iter =  14000
training @ iter =  14100
training @ iter =  14200
training @ iter =  14300
training @ iter =  14400
training @ iter =  14500
training @ iter =  14600
training @ iter =  14700
training @ iter =  14800
training @ iter =  14900
training @ iter =  15000
training @ iter =  15100
training @ iter =  15200
training @ iter =  15300
training @ iter =  15400
training @ iter =  15500
training @ iter =  15600
training @ iter =  15700
training @ iter =  15800
training @ iter =  15900
training @ iter =  16000
training @ iter =  16100
training @ iter =  16200
training @ iter =  16300
training @ iter =  16400
training @ iter =  16500
training @ iter =  16600
training @ iter =  16700
training @ iter =  16800
training @ iter =  16900
training @ iter =  17000
training @ iter =  17100
training @ iter =  17200
training @ iter =  17300
training @ iter =  17400
epoch 5, minibatch 3500/3500, validation error 0.760000 %
     epoch 5, minibatch 3500/3500, test error of best model 0.700000 %
training @ iter =  17500
training @ iter =  17600
training @ iter =  17700
training @ iter =  17800
training @ iter =  17900
training @ iter =  18000
training @ iter =  18100
training @ iter =  18200
training @ iter =  18300
training @ iter =  18400
training @ iter =  18500
training @ iter =  18600
training @ iter =  18700
training @ iter =  18800
training @ iter =  18900
training @ iter =  19000
training @ iter =  19100
training @ iter =  19200
training @ iter =  19300
training @ iter =  19400
training @ iter =  19500
training @ iter =  19600
training @ iter =  19700
training @ iter =  19800
training @ iter =  19900
training @ iter =  20000
training @ iter =  20100
training @ iter =  20200
training @ iter =  20300
training @ iter =  20400
training @ iter =  20500
training @ iter =  20600
training @ iter =  20700
training @ iter =  20800
training @ iter =  20900
epoch 6, minibatch 3500/3500, validation error 0.710000 %
     epoch 6, minibatch 3500/3500, test error of best model 0.680000 %
training @ iter =  21000
training @ iter =  21100
training @ iter =  21200
training @ iter =  21300
training @ iter =  21400
training @ iter =  21500
training @ iter =  21600
training @ iter =  21700
training @ iter =  21800
training @ iter =  21900
training @ iter =  22000
training @ iter =  22100
training @ iter =  22200
training @ iter =  22300
training @ iter =  22400
training @ iter =  22500
training @ iter =  22600
training @ iter =  22700
training @ iter =  22800
training @ iter =  22900
training @ iter =  23000
training @ iter =  23100
training @ iter =  23200
training @ iter =  23300
training @ iter =  23400
training @ iter =  23500
training @ iter =  23600
training @ iter =  23700
training @ iter =  23800
training @ iter =  23900
training @ iter =  24000
training @ iter =  24100
training @ iter =  24200
training @ iter =  24300
training @ iter =  24400
epoch 7, minibatch 3500/3500, validation error 0.710000 %
training @ iter =  24500
training @ iter =  24600
training @ iter =  24700
training @ iter =  24800
training @ iter =  24900
training @ iter =  25000
training @ iter =  25100
training @ iter =  25200
training @ iter =  25300
training @ iter =  25400
training @ iter =  25500
training @ iter =  25600
training @ iter =  25700
training @ iter =  25800
training @ iter =  25900
training @ iter =  26000
training @ iter =  26100
training @ iter =  26200
training @ iter =  26300
training @ iter =  26400
training @ iter =  26500
training @ iter =  26600
training @ iter =  26700
training @ iter =  26800
training @ iter =  26900
training @ iter =  27000
training @ iter =  27100
training @ iter =  27200
training @ iter =  27300
training @ iter =  27400
training @ iter =  27500
training @ iter =  27600
training @ iter =  27700
training @ iter =  27800
training @ iter =  27900
epoch 8, minibatch 3500/3500, validation error 0.720000 %
training @ iter =  28000
training @ iter =  28100
training @ iter =  28200
training @ iter =  28300
training @ iter =  28400
training @ iter =  28500
training @ iter =  28600
training @ iter =  28700
training @ iter =  28800
training @ iter =  28900
training @ iter =  29000
training @ iter =  29100
training @ iter =  29200
training @ iter =  29300
training @ iter =  29400
training @ iter =  29500
training @ iter =  29600
training @ iter =  29700
training @ iter =  29800
training @ iter =  29900
training @ iter =  30000
training @ iter =  30100
training @ iter =  30200
training @ iter =  30300
training @ iter =  30400
training @ iter =  30500
training @ iter =  30600
training @ iter =  30700
training @ iter =  30800
training @ iter =  30900
training @ iter =  31000
training @ iter =  31100
training @ iter =  31200
training @ iter =  31300
training @ iter =  31400
epoch 9, minibatch 3500/3500, validation error 0.630000 %
     epoch 9, minibatch 3500/3500, test error of best model 0.650000 %
training @ iter =  31500
training @ iter =  31600
training @ iter =  31700
training @ iter =  31800
training @ iter =  31900
training @ iter =  32000
training @ iter =  32100
training @ iter =  32200
training @ iter =  32300
training @ iter =  32400
training @ iter =  32500
training @ iter =  32600
training @ iter =  32700
training @ iter =  32800
training @ iter =  32900
training @ iter =  33000
training @ iter =  33100
training @ iter =  33200
training @ iter =  33300
training @ iter =  33400
training @ iter =  33500
training @ iter =  33600
training @ iter =  33700
training @ iter =  33800
training @ iter =  33900
training @ iter =  34000
training @ iter =  34100
training @ iter =  34200
training @ iter =  34300
training @ iter =  34400
training @ iter =  34500
training @ iter =  34600
training @ iter =  34700
training @ iter =  34800
training @ iter =  34900
epoch 10, minibatch 3500/3500, validation error 0.590000 %
     epoch 10, minibatch 3500/3500, test error of best model 0.610000 %
training @ iter =  35000
training @ iter =  35100
training @ iter =  35200
training @ iter =  35300
training @ iter =  35400
training @ iter =  35500
training @ iter =  35600
training @ iter =  35700
training @ iter =  35800
training @ iter =  35900
training @ iter =  36000
training @ iter =  36100
training @ iter =  36200
training @ iter =  36300
training @ iter =  36400
training @ iter =  36500
training @ iter =  36600
training @ iter =  36700
training @ iter =  36800
training @ iter =  36900
training @ iter =  37000
training @ iter =  37100
training @ iter =  37200
training @ iter =  37300
training @ iter =  37400
training @ iter =  37500
training @ iter =  37600
training @ iter =  37700
training @ iter =  37800
training @ iter =  37900
training @ iter =  38000
training @ iter =  38100
training @ iter =  38200
training @ iter =  38300
training @ iter =  38400
epoch 11, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  38500
training @ iter =  38600
training @ iter =  38700
training @ iter =  38800
training @ iter =  38900
training @ iter =  39000
training @ iter =  39100
training @ iter =  39200
training @ iter =  39300
training @ iter =  39400
training @ iter =  39500
training @ iter =  39600
training @ iter =  39700
training @ iter =  39800
training @ iter =  39900
training @ iter =  40000
training @ iter =  40100
training @ iter =  40200
training @ iter =  40300
training @ iter =  40400
training @ iter =  40500
training @ iter =  40600
training @ iter =  40700
training @ iter =  40800
training @ iter =  40900
training @ iter =  41000
training @ iter =  41100
training @ iter =  41200
training @ iter =  41300
training @ iter =  41400
training @ iter =  41500
training @ iter =  41600
training @ iter =  41700
training @ iter =  41800
training @ iter =  41900
epoch 12, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  42000
training @ iter =  42100
training @ iter =  42200
training @ iter =  42300
training @ iter =  42400
training @ iter =  42500
training @ iter =  42600
training @ iter =  42700
training @ iter =  42800
training @ iter =  42900
training @ iter =  43000
training @ iter =  43100
training @ iter =  43200
training @ iter =  43300
training @ iter =  43400
training @ iter =  43500
training @ iter =  43600
training @ iter =  43700
training @ iter =  43800
training @ iter =  43900
training @ iter =  44000
training @ iter =  44100
training @ iter =  44200
training @ iter =  44300
training @ iter =  44400
training @ iter =  44500
training @ iter =  44600
training @ iter =  44700
training @ iter =  44800
training @ iter =  44900
training @ iter =  45000
training @ iter =  45100
training @ iter =  45200
training @ iter =  45300
training @ iter =  45400
epoch 13, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  45500
training @ iter =  45600
training @ iter =  45700
training @ iter =  45800
training @ iter =  45900
training @ iter =  46000
training @ iter =  46100
training @ iter =  46200
training @ iter =  46300
training @ iter =  46400
training @ iter =  46500
training @ iter =  46600
training @ iter =  46700
training @ iter =  46800
training @ iter =  46900
training @ iter =  47000
training @ iter =  47100
training @ iter =  47200
training @ iter =  47300
training @ iter =  47400
training @ iter =  47500
training @ iter =  47600
training @ iter =  47700
training @ iter =  47800
training @ iter =  47900
training @ iter =  48000
training @ iter =  48100
training @ iter =  48200
training @ iter =  48300
training @ iter =  48400
training @ iter =  48500
training @ iter =  48600
training @ iter =  48700
training @ iter =  48800
training @ iter =  48900
epoch 14, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  49000
training @ iter =  49100
training @ iter =  49200
training @ iter =  49300
training @ iter =  49400
training @ iter =  49500
training @ iter =  49600
training @ iter =  49700
training @ iter =  49800
training @ iter =  49900
training @ iter =  50000
training @ iter =  50100
training @ iter =  50200
training @ iter =  50300
training @ iter =  50400
training @ iter =  50500
training @ iter =  50600
training @ iter =  50700
training @ iter =  50800
training @ iter =  50900
training @ iter =  51000
training @ iter =  51100
training @ iter =  51200
training @ iter =  51300
training @ iter =  51400
training @ iter =  51500
training @ iter =  51600
training @ iter =  51700
training @ iter =  51800
training @ iter =  51900
training @ iter =  52000
training @ iter =  52100
training @ iter =  52200
training @ iter =  52300
training @ iter =  52400
epoch 15, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  52500
training @ iter =  52600
training @ iter =  52700
training @ iter =  52800
training @ iter =  52900
training @ iter =  53000
training @ iter =  53100
training @ iter =  53200
training @ iter =  53300
training @ iter =  53400
training @ iter =  53500
training @ iter =  53600
training @ iter =  53700
training @ iter =  53800
training @ iter =  53900
training @ iter =  54000
training @ iter =  54100
training @ iter =  54200
training @ iter =  54300
training @ iter =  54400
training @ iter =  54500
training @ iter =  54600
training @ iter =  54700
training @ iter =  54800
training @ iter =  54900
training @ iter =  55000
training @ iter =  55100
training @ iter =  55200
training @ iter =  55300
training @ iter =  55400
training @ iter =  55500
training @ iter =  55600
training @ iter =  55700
training @ iter =  55800
training @ iter =  55900
epoch 16, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  56000
training @ iter =  56100
training @ iter =  56200
training @ iter =  56300
training @ iter =  56400
training @ iter =  56500
training @ iter =  56600
training @ iter =  56700
training @ iter =  56800
training @ iter =  56900
training @ iter =  57000
training @ iter =  57100
training @ iter =  57200
training @ iter =  57300
training @ iter =  57400
training @ iter =  57500
training @ iter =  57600
training @ iter =  57700
training @ iter =  57800
training @ iter =  57900
training @ iter =  58000
training @ iter =  58100
training @ iter =  58200
training @ iter =  58300
training @ iter =  58400
training @ iter =  58500
training @ iter =  58600
training @ iter =  58700
training @ iter =  58800
training @ iter =  58900
training @ iter =  59000
training @ iter =  59100
training @ iter =  59200
training @ iter =  59300
training @ iter =  59400
epoch 17, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  59500
training @ iter =  59600
training @ iter =  59700
training @ iter =  59800
training @ iter =  59900
training @ iter =  60000
training @ iter =  60100
training @ iter =  60200
training @ iter =  60300
training @ iter =  60400
training @ iter =  60500
training @ iter =  60600
training @ iter =  60700
training @ iter =  60800
training @ iter =  60900
training @ iter =  61000
training @ iter =  61100
training @ iter =  61200
training @ iter =  61300
training @ iter =  61400
training @ iter =  61500
training @ iter =  61600
training @ iter =  61700
training @ iter =  61800
training @ iter =  61900
training @ iter =  62000
training @ iter =  62100
training @ iter =  62200
training @ iter =  62300
training @ iter =  62400
training @ iter =  62500
training @ iter =  62600
training @ iter =  62700
training @ iter =  62800
training @ iter =  62900
epoch 18, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  63000
training @ iter =  63100
training @ iter =  63200
training @ iter =  63300
training @ iter =  63400
training @ iter =  63500
training @ iter =  63600
training @ iter =  63700
training @ iter =  63800
training @ iter =  63900
training @ iter =  64000
training @ iter =  64100
training @ iter =  64200
training @ iter =  64300
training @ iter =  64400
training @ iter =  64500
training @ iter =  64600
training @ iter =  64700
training @ iter =  64800
training @ iter =  64900
training @ iter =  65000
training @ iter =  65100
training @ iter =  65200
training @ iter =  65300
training @ iter =  65400
training @ iter =  65500
training @ iter =  65600
training @ iter =  65700
training @ iter =  65800
training @ iter =  65900
training @ iter =  66000
training @ iter =  66100
training @ iter =  66200
training @ iter =  66300
training @ iter =  66400
epoch 19, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  66500
training @ iter =  66600
training @ iter =  66700
training @ iter =  66800
training @ iter =  66900
training @ iter =  67000
training @ iter =  67100
training @ iter =  67200
training @ iter =  67300
training @ iter =  67400
training @ iter =  67500
training @ iter =  67600
training @ iter =  67700
training @ iter =  67800
training @ iter =  67900
training @ iter =  68000
training @ iter =  68100
training @ iter =  68200
training @ iter =  68300
training @ iter =  68400
training @ iter =  68500
training @ iter =  68600
training @ iter =  68700
training @ iter =  68800
training @ iter =  68900
training @ iter =  69000
training @ iter =  69100
training @ iter =  69200
training @ iter =  69300
training @ iter =  69400
training @ iter =  69500
training @ iter =  69600
training @ iter =  69700
training @ iter =  69800
training @ iter =  69900
Optimization complete.
Best validation score of 0.590000 % obtained at iteration 35000, with test performance 0.610000 %
Saving Model as "mcdnn_slice1_dsmnist_elastic_4_34_nm0_trail0_time_1448495852"...
... train 0 column of normalization 10
... num_epochs 400
... loading data
Loaded DS on RAM
... normalizing digits to width 10 with extra padding 1
... sharing data
... building the dnn column
... training
training @ iter =  0
training @ iter =  100
training @ iter =  200
training @ iter =  300
training @ iter =  400
training @ iter =  500
training @ iter =  600
training @ iter =  700
training @ iter =  800
training @ iter =  900
training @ iter =  1000
training @ iter =  1100
training @ iter =  1200
training @ iter =  1300
training @ iter =  1400
training @ iter =  1500
training @ iter =  1600
training @ iter =  1700
training @ iter =  1800
training @ iter =  1900
training @ iter =  2000
training @ iter =  2100
training @ iter =  2200
training @ iter =  2300
training @ iter =  2400
training @ iter =  2500
training @ iter =  2600
training @ iter =  2700
training @ iter =  2800
training @ iter =  2900
training @ iter =  3000
training @ iter =  3100
training @ iter =  3200
training @ iter =  3300
training @ iter =  3400
epoch 1, minibatch 3500/3500, validation error 1.240000 %
     epoch 1, minibatch 3500/3500, test error of best model 1.250000 %
training @ iter =  3500
training @ iter =  3600
training @ iter =  3700
training @ iter =  3800
training @ iter =  3900
training @ iter =  4000
training @ iter =  4100
training @ iter =  4200
training @ iter =  4300
training @ iter =  4400
training @ iter =  4500
training @ iter =  4600
training @ iter =  4700
training @ iter =  4800
training @ iter =  4900
training @ iter =  5000
training @ iter =  5100
training @ iter =  5200
training @ iter =  5300
training @ iter =  5400
training @ iter =  5500
training @ iter =  5600
training @ iter =  5700
training @ iter =  5800
training @ iter =  5900
training @ iter =  6000
training @ iter =  6100
training @ iter =  6200
training @ iter =  6300
training @ iter =  6400
training @ iter =  6500
training @ iter =  6600
training @ iter =  6700
training @ iter =  6800
training @ iter =  6900
epoch 2, minibatch 3500/3500, validation error 0.950000 %
     epoch 2, minibatch 3500/3500, test error of best model 0.880000 %
training @ iter =  7000
training @ iter =  7100
training @ iter =  7200
training @ iter =  7300
training @ iter =  7400
training @ iter =  7500
training @ iter =  7600
training @ iter =  7700
training @ iter =  7800
training @ iter =  7900
training @ iter =  8000
training @ iter =  8100
training @ iter =  8200
training @ iter =  8300
training @ iter =  8400
training @ iter =  8500
training @ iter =  8600
training @ iter =  8700
training @ iter =  8800
training @ iter =  8900
training @ iter =  9000
training @ iter =  9100
training @ iter =  9200
training @ iter =  9300
training @ iter =  9400
training @ iter =  9500
training @ iter =  9600
training @ iter =  9700
training @ iter =  9800
training @ iter =  9900
training @ iter =  10000
training @ iter =  10100
training @ iter =  10200
training @ iter =  10300
training @ iter =  10400
epoch 3, minibatch 3500/3500, validation error 0.880000 %
     epoch 3, minibatch 3500/3500, test error of best model 0.720000 %
training @ iter =  10500
training @ iter =  10600
training @ iter =  10700
training @ iter =  10800
training @ iter =  10900
training @ iter =  11000
training @ iter =  11100
training @ iter =  11200
training @ iter =  11300
training @ iter =  11400
training @ iter =  11500
training @ iter =  11600
training @ iter =  11700
training @ iter =  11800
training @ iter =  11900
training @ iter =  12000
training @ iter =  12100
training @ iter =  12200
training @ iter =  12300
training @ iter =  12400
training @ iter =  12500
training @ iter =  12600
training @ iter =  12700
training @ iter =  12800
training @ iter =  12900
training @ iter =  13000
training @ iter =  13100
training @ iter =  13200
training @ iter =  13300
training @ iter =  13400
training @ iter =  13500
training @ iter =  13600
training @ iter =  13700
training @ iter =  13800
training @ iter =  13900
epoch 4, minibatch 3500/3500, validation error 0.820000 %
     epoch 4, minibatch 3500/3500, test error of best model 0.680000 %
training @ iter =  14000
training @ iter =  14100
training @ iter =  14200
training @ iter =  14300
training @ iter =  14400
training @ iter =  14500
training @ iter =  14600
training @ iter =  14700
training @ iter =  14800
training @ iter =  14900
training @ iter =  15000
training @ iter =  15100
training @ iter =  15200
training @ iter =  15300
training @ iter =  15400
training @ iter =  15500
training @ iter =  15600
training @ iter =  15700
training @ iter =  15800
training @ iter =  15900
training @ iter =  16000
training @ iter =  16100
training @ iter =  16200
training @ iter =  16300
training @ iter =  16400
training @ iter =  16500
training @ iter =  16600
training @ iter =  16700
training @ iter =  16800
training @ iter =  16900
training @ iter =  17000
training @ iter =  17100
training @ iter =  17200
training @ iter =  17300
training @ iter =  17400
epoch 5, minibatch 3500/3500, validation error 0.770000 %
     epoch 5, minibatch 3500/3500, test error of best model 0.670000 %
training @ iter =  17500
training @ iter =  17600
training @ iter =  17700
training @ iter =  17800
training @ iter =  17900
training @ iter =  18000
training @ iter =  18100
training @ iter =  18200
training @ iter =  18300
training @ iter =  18400
training @ iter =  18500
training @ iter =  18600
training @ iter =  18700
training @ iter =  18800
training @ iter =  18900
training @ iter =  19000
training @ iter =  19100
training @ iter =  19200
training @ iter =  19300
training @ iter =  19400
training @ iter =  19500
training @ iter =  19600
training @ iter =  19700
training @ iter =  19800
training @ iter =  19900
training @ iter =  20000
training @ iter =  20100
training @ iter =  20200
training @ iter =  20300
training @ iter =  20400
training @ iter =  20500
training @ iter =  20600
training @ iter =  20700
training @ iter =  20800
training @ iter =  20900
epoch 6, minibatch 3500/3500, validation error 0.750000 %
     epoch 6, minibatch 3500/3500, test error of best model 0.630000 %
training @ iter =  21000
training @ iter =  21100
training @ iter =  21200
training @ iter =  21300
training @ iter =  21400
training @ iter =  21500
training @ iter =  21600
training @ iter =  21700
training @ iter =  21800
training @ iter =  21900
training @ iter =  22000
training @ iter =  22100
training @ iter =  22200
training @ iter =  22300
training @ iter =  22400
training @ iter =  22500
training @ iter =  22600
training @ iter =  22700
training @ iter =  22800
training @ iter =  22900
training @ iter =  23000
training @ iter =  23100
training @ iter =  23200
training @ iter =  23300
training @ iter =  23400
training @ iter =  23500
training @ iter =  23600
training @ iter =  23700
training @ iter =  23800
training @ iter =  23900
training @ iter =  24000
training @ iter =  24100
training @ iter =  24200
training @ iter =  24300
training @ iter =  24400
epoch 7, minibatch 3500/3500, validation error 0.710000 %
     epoch 7, minibatch 3500/3500, test error of best model 0.640000 %
training @ iter =  24500
training @ iter =  24600
training @ iter =  24700
training @ iter =  24800
training @ iter =  24900
training @ iter =  25000
training @ iter =  25100
training @ iter =  25200
training @ iter =  25300
training @ iter =  25400
training @ iter =  25500
training @ iter =  25600
training @ iter =  25700
training @ iter =  25800
training @ iter =  25900
training @ iter =  26000
training @ iter =  26100
training @ iter =  26200
training @ iter =  26300
training @ iter =  26400
training @ iter =  26500
training @ iter =  26600
training @ iter =  26700
training @ iter =  26800
training @ iter =  26900
training @ iter =  27000
training @ iter =  27100
training @ iter =  27200
training @ iter =  27300
training @ iter =  27400
training @ iter =  27500
training @ iter =  27600
training @ iter =  27700
training @ iter =  27800
training @ iter =  27900
epoch 8, minibatch 3500/3500, validation error 0.680000 %
     epoch 8, minibatch 3500/3500, test error of best model 0.650000 %
training @ iter =  28000
training @ iter =  28100
training @ iter =  28200
training @ iter =  28300
training @ iter =  28400
training @ iter =  28500
training @ iter =  28600
training @ iter =  28700
training @ iter =  28800
training @ iter =  28900
training @ iter =  29000
training @ iter =  29100
training @ iter =  29200
training @ iter =  29300
training @ iter =  29400
training @ iter =  29500
training @ iter =  29600
training @ iter =  29700
training @ iter =  29800
training @ iter =  29900
training @ iter =  30000
training @ iter =  30100
training @ iter =  30200
training @ iter =  30300
training @ iter =  30400
training @ iter =  30500
training @ iter =  30600
training @ iter =  30700
training @ iter =  30800
training @ iter =  30900
training @ iter =  31000
training @ iter =  31100
training @ iter =  31200
training @ iter =  31300
training @ iter =  31400
epoch 9, minibatch 3500/3500, validation error 0.680000 %
training @ iter =  31500
training @ iter =  31600
training @ iter =  31700
training @ iter =  31800
training @ iter =  31900
training @ iter =  32000
training @ iter =  32100
training @ iter =  32200
training @ iter =  32300
training @ iter =  32400
training @ iter =  32500
training @ iter =  32600
training @ iter =  32700
training @ iter =  32800
training @ iter =  32900
training @ iter =  33000
training @ iter =  33100
training @ iter =  33200
training @ iter =  33300
training @ iter =  33400
training @ iter =  33500
training @ iter =  33600
training @ iter =  33700
training @ iter =  33800
training @ iter =  33900
training @ iter =  34000
training @ iter =  34100
training @ iter =  34200
training @ iter =  34300
training @ iter =  34400
training @ iter =  34500
training @ iter =  34600
training @ iter =  34700
training @ iter =  34800
training @ iter =  34900
epoch 10, minibatch 3500/3500, validation error 0.660000 %
     epoch 10, minibatch 3500/3500, test error of best model 0.610000 %
training @ iter =  35000
training @ iter =  35100
training @ iter =  35200
training @ iter =  35300
training @ iter =  35400
training @ iter =  35500
training @ iter =  35600
training @ iter =  35700
training @ iter =  35800
training @ iter =  35900
training @ iter =  36000
training @ iter =  36100
training @ iter =  36200
training @ iter =  36300
training @ iter =  36400
training @ iter =  36500
training @ iter =  36600
training @ iter =  36700
training @ iter =  36800
training @ iter =  36900
training @ iter =  37000
training @ iter =  37100
training @ iter =  37200
training @ iter =  37300
training @ iter =  37400
training @ iter =  37500
training @ iter =  37600
training @ iter =  37700
training @ iter =  37800
training @ iter =  37900
training @ iter =  38000
training @ iter =  38100
training @ iter =  38200
training @ iter =  38300
training @ iter =  38400
epoch 11, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  38500
training @ iter =  38600
training @ iter =  38700
training @ iter =  38800
training @ iter =  38900
training @ iter =  39000
training @ iter =  39100
training @ iter =  39200
training @ iter =  39300
training @ iter =  39400
training @ iter =  39500
training @ iter =  39600
training @ iter =  39700
training @ iter =  39800
training @ iter =  39900
training @ iter =  40000
training @ iter =  40100
training @ iter =  40200
training @ iter =  40300
training @ iter =  40400
training @ iter =  40500
training @ iter =  40600
training @ iter =  40700
training @ iter =  40800
training @ iter =  40900
training @ iter =  41000
training @ iter =  41100
training @ iter =  41200
training @ iter =  41300
training @ iter =  41400
training @ iter =  41500
training @ iter =  41600
training @ iter =  41700
training @ iter =  41800
training @ iter =  41900
epoch 12, minibatch 3500/3500, validation error 0.680000 %
training @ iter =  42000
training @ iter =  42100
training @ iter =  42200
training @ iter =  42300
training @ iter =  42400
training @ iter =  42500
training @ iter =  42600
training @ iter =  42700
training @ iter =  42800
training @ iter =  42900
training @ iter =  43000
training @ iter =  43100
training @ iter =  43200
training @ iter =  43300
training @ iter =  43400
training @ iter =  43500
training @ iter =  43600
training @ iter =  43700
training @ iter =  43800
training @ iter =  43900
training @ iter =  44000
training @ iter =  44100
training @ iter =  44200
training @ iter =  44300
training @ iter =  44400
training @ iter =  44500
training @ iter =  44600
training @ iter =  44700
training @ iter =  44800
training @ iter =  44900
training @ iter =  45000
training @ iter =  45100
training @ iter =  45200
training @ iter =  45300
training @ iter =  45400
epoch 13, minibatch 3500/3500, validation error 0.650000 %
     epoch 13, minibatch 3500/3500, test error of best model 0.670000 %
training @ iter =  45500
training @ iter =  45600
training @ iter =  45700
training @ iter =  45800
training @ iter =  45900
training @ iter =  46000
training @ iter =  46100
training @ iter =  46200
training @ iter =  46300
training @ iter =  46400
training @ iter =  46500
training @ iter =  46600
training @ iter =  46700
training @ iter =  46800
training @ iter =  46900
training @ iter =  47000
training @ iter =  47100
training @ iter =  47200
training @ iter =  47300
training @ iter =  47400
training @ iter =  47500
training @ iter =  47600
training @ iter =  47700
training @ iter =  47800
training @ iter =  47900
training @ iter =  48000
training @ iter =  48100
training @ iter =  48200
training @ iter =  48300
training @ iter =  48400
training @ iter =  48500
training @ iter =  48600
training @ iter =  48700
training @ iter =  48800
training @ iter =  48900
epoch 14, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  49000
training @ iter =  49100
training @ iter =  49200
training @ iter =  49300
training @ iter =  49400
training @ iter =  49500
training @ iter =  49600
training @ iter =  49700
training @ iter =  49800
training @ iter =  49900
training @ iter =  50000
training @ iter =  50100
training @ iter =  50200
training @ iter =  50300
training @ iter =  50400
training @ iter =  50500
training @ iter =  50600
training @ iter =  50700
training @ iter =  50800
training @ iter =  50900
training @ iter =  51000
training @ iter =  51100
training @ iter =  51200
training @ iter =  51300
training @ iter =  51400
training @ iter =  51500
training @ iter =  51600
training @ iter =  51700
training @ iter =  51800
training @ iter =  51900
training @ iter =  52000
training @ iter =  52100
training @ iter =  52200
training @ iter =  52300
training @ iter =  52400
epoch 15, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  52500
training @ iter =  52600
training @ iter =  52700
training @ iter =  52800
training @ iter =  52900
training @ iter =  53000
training @ iter =  53100
training @ iter =  53200
training @ iter =  53300
training @ iter =  53400
training @ iter =  53500
training @ iter =  53600
training @ iter =  53700
training @ iter =  53800
training @ iter =  53900
training @ iter =  54000
training @ iter =  54100
training @ iter =  54200
training @ iter =  54300
training @ iter =  54400
training @ iter =  54500
training @ iter =  54600
training @ iter =  54700
training @ iter =  54800
training @ iter =  54900
training @ iter =  55000
training @ iter =  55100
training @ iter =  55200
training @ iter =  55300
training @ iter =  55400
training @ iter =  55500
training @ iter =  55600
training @ iter =  55700
training @ iter =  55800
training @ iter =  55900
epoch 16, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  56000
training @ iter =  56100
training @ iter =  56200
training @ iter =  56300
training @ iter =  56400
training @ iter =  56500
training @ iter =  56600
training @ iter =  56700
training @ iter =  56800
training @ iter =  56900
training @ iter =  57000
training @ iter =  57100
training @ iter =  57200
training @ iter =  57300
training @ iter =  57400
training @ iter =  57500
training @ iter =  57600
training @ iter =  57700
training @ iter =  57800
training @ iter =  57900
training @ iter =  58000
training @ iter =  58100
training @ iter =  58200
training @ iter =  58300
training @ iter =  58400
training @ iter =  58500
training @ iter =  58600
training @ iter =  58700
training @ iter =  58800
training @ iter =  58900
training @ iter =  59000
training @ iter =  59100
training @ iter =  59200
training @ iter =  59300
training @ iter =  59400
epoch 17, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  59500
training @ iter =  59600
training @ iter =  59700
training @ iter =  59800
training @ iter =  59900
training @ iter =  60000
training @ iter =  60100
training @ iter =  60200
training @ iter =  60300
training @ iter =  60400
training @ iter =  60500
training @ iter =  60600
training @ iter =  60700
training @ iter =  60800
training @ iter =  60900
training @ iter =  61000
training @ iter =  61100
training @ iter =  61200
training @ iter =  61300
training @ iter =  61400
training @ iter =  61500
training @ iter =  61600
training @ iter =  61700
training @ iter =  61800
training @ iter =  61900
training @ iter =  62000
training @ iter =  62100
training @ iter =  62200
training @ iter =  62300
training @ iter =  62400
training @ iter =  62500
training @ iter =  62600
training @ iter =  62700
training @ iter =  62800
training @ iter =  62900
epoch 18, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  63000
training @ iter =  63100
training @ iter =  63200
training @ iter =  63300
training @ iter =  63400
training @ iter =  63500
training @ iter =  63600
training @ iter =  63700
training @ iter =  63800
training @ iter =  63900
training @ iter =  64000
training @ iter =  64100
training @ iter =  64200
training @ iter =  64300
training @ iter =  64400
training @ iter =  64500
training @ iter =  64600
training @ iter =  64700
training @ iter =  64800
training @ iter =  64900
training @ iter =  65000
training @ iter =  65100
training @ iter =  65200
training @ iter =  65300
training @ iter =  65400
training @ iter =  65500
training @ iter =  65600
training @ iter =  65700
training @ iter =  65800
training @ iter =  65900
training @ iter =  66000
training @ iter =  66100
training @ iter =  66200
training @ iter =  66300
training @ iter =  66400
epoch 19, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  66500
training @ iter =  66600
training @ iter =  66700
training @ iter =  66800
training @ iter =  66900
training @ iter =  67000
training @ iter =  67100
training @ iter =  67200
training @ iter =  67300
training @ iter =  67400
training @ iter =  67500
training @ iter =  67600
training @ iter =  67700
training @ iter =  67800
training @ iter =  67900
training @ iter =  68000
training @ iter =  68100
training @ iter =  68200
training @ iter =  68300
training @ iter =  68400
training @ iter =  68500
training @ iter =  68600
training @ iter =  68700
training @ iter =  68800
training @ iter =  68900
training @ iter =  69000
training @ iter =  69100
training @ iter =  69200
training @ iter =  69300
training @ iter =  69400
training @ iter =  69500
training @ iter =  69600
training @ iter =  69700
training @ iter =  69800
training @ iter =  69900
epoch 20, minibatch 3500/3500, validation error 0.640000 %
     epoch 20, minibatch 3500/3500, test error of best model 0.690000 %
training @ iter =  70000
training @ iter =  70100
training @ iter =  70200
training @ iter =  70300
training @ iter =  70400
training @ iter =  70500
training @ iter =  70600
training @ iter =  70700
training @ iter =  70800
training @ iter =  70900
training @ iter =  71000
training @ iter =  71100
training @ iter =  71200
training @ iter =  71300
training @ iter =  71400
training @ iter =  71500
training @ iter =  71600
training @ iter =  71700
training @ iter =  71800
training @ iter =  71900
training @ iter =  72000
training @ iter =  72100
training @ iter =  72200
training @ iter =  72300
training @ iter =  72400
training @ iter =  72500
training @ iter =  72600
training @ iter =  72700
training @ iter =  72800
training @ iter =  72900
training @ iter =  73000
training @ iter =  73100
training @ iter =  73200
training @ iter =  73300
training @ iter =  73400
epoch 21, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  73500
training @ iter =  73600
training @ iter =  73700
training @ iter =  73800
training @ iter =  73900
training @ iter =  74000
training @ iter =  74100
training @ iter =  74200
training @ iter =  74300
training @ iter =  74400
training @ iter =  74500
training @ iter =  74600
training @ iter =  74700
training @ iter =  74800
training @ iter =  74900
training @ iter =  75000
training @ iter =  75100
training @ iter =  75200
training @ iter =  75300
training @ iter =  75400
training @ iter =  75500
training @ iter =  75600
training @ iter =  75700
training @ iter =  75800
training @ iter =  75900
training @ iter =  76000
training @ iter =  76100
training @ iter =  76200
training @ iter =  76300
training @ iter =  76400
training @ iter =  76500
training @ iter =  76600
training @ iter =  76700
training @ iter =  76800
training @ iter =  76900
epoch 22, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  77000
training @ iter =  77100
training @ iter =  77200
training @ iter =  77300
training @ iter =  77400
training @ iter =  77500
training @ iter =  77600
training @ iter =  77700
training @ iter =  77800
training @ iter =  77900
training @ iter =  78000
training @ iter =  78100
training @ iter =  78200
training @ iter =  78300
training @ iter =  78400
training @ iter =  78500
training @ iter =  78600
training @ iter =  78700
training @ iter =  78800
training @ iter =  78900
training @ iter =  79000
training @ iter =  79100
training @ iter =  79200
training @ iter =  79300
training @ iter =  79400
training @ iter =  79500
training @ iter =  79600
training @ iter =  79700
training @ iter =  79800
training @ iter =  79900
training @ iter =  80000
training @ iter =  80100
training @ iter =  80200
training @ iter =  80300
training @ iter =  80400
epoch 23, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  80500
training @ iter =  80600
training @ iter =  80700
training @ iter =  80800
training @ iter =  80900
training @ iter =  81000
training @ iter =  81100
training @ iter =  81200
training @ iter =  81300
training @ iter =  81400
training @ iter =  81500
training @ iter =  81600
training @ iter =  81700
training @ iter =  81800
training @ iter =  81900
training @ iter =  82000
training @ iter =  82100
training @ iter =  82200
training @ iter =  82300
training @ iter =  82400
training @ iter =  82500
training @ iter =  82600
training @ iter =  82700
training @ iter =  82800
training @ iter =  82900
training @ iter =  83000
training @ iter =  83100
training @ iter =  83200
training @ iter =  83300
training @ iter =  83400
training @ iter =  83500
training @ iter =  83600
training @ iter =  83700
training @ iter =  83800
training @ iter =  83900
epoch 24, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  84000
training @ iter =  84100
training @ iter =  84200
training @ iter =  84300
training @ iter =  84400
training @ iter =  84500
training @ iter =  84600
training @ iter =  84700
training @ iter =  84800
training @ iter =  84900
training @ iter =  85000
training @ iter =  85100
training @ iter =  85200
training @ iter =  85300
training @ iter =  85400
training @ iter =  85500
training @ iter =  85600
training @ iter =  85700
training @ iter =  85800
training @ iter =  85900
training @ iter =  86000
training @ iter =  86100
training @ iter =  86200
training @ iter =  86300
training @ iter =  86400
training @ iter =  86500
training @ iter =  86600
training @ iter =  86700
training @ iter =  86800
training @ iter =  86900
training @ iter =  87000
training @ iter =  87100
training @ iter =  87200
training @ iter =  87300
training @ iter =  87400
epoch 25, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  87500
training @ iter =  87600
training @ iter =  87700
training @ iter =  87800
training @ iter =  87900
training @ iter =  88000
training @ iter =  88100
training @ iter =  88200
training @ iter =  88300
training @ iter =  88400
training @ iter =  88500
training @ iter =  88600
training @ iter =  88700
training @ iter =  88800
training @ iter =  88900
training @ iter =  89000
training @ iter =  89100
training @ iter =  89200
training @ iter =  89300
training @ iter =  89400
training @ iter =  89500
training @ iter =  89600
training @ iter =  89700
training @ iter =  89800
training @ iter =  89900
training @ iter =  90000
training @ iter =  90100
training @ iter =  90200
training @ iter =  90300
training @ iter =  90400
training @ iter =  90500
training @ iter =  90600
training @ iter =  90700
training @ iter =  90800
training @ iter =  90900
epoch 26, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  91000
training @ iter =  91100
training @ iter =  91200
training @ iter =  91300
training @ iter =  91400
training @ iter =  91500
training @ iter =  91600
training @ iter =  91700
training @ iter =  91800
training @ iter =  91900
training @ iter =  92000
training @ iter =  92100
training @ iter =  92200
training @ iter =  92300
training @ iter =  92400
training @ iter =  92500
training @ iter =  92600
training @ iter =  92700
training @ iter =  92800
training @ iter =  92900
training @ iter =  93000
training @ iter =  93100
training @ iter =  93200
training @ iter =  93300
training @ iter =  93400
training @ iter =  93500
training @ iter =  93600
training @ iter =  93700
training @ iter =  93800
training @ iter =  93900
training @ iter =  94000
training @ iter =  94100
training @ iter =  94200
training @ iter =  94300
training @ iter =  94400
epoch 27, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  94500
training @ iter =  94600
training @ iter =  94700
training @ iter =  94800
training @ iter =  94900
training @ iter =  95000
training @ iter =  95100
training @ iter =  95200
training @ iter =  95300
training @ iter =  95400
training @ iter =  95500
training @ iter =  95600
training @ iter =  95700
training @ iter =  95800
training @ iter =  95900
training @ iter =  96000
training @ iter =  96100
training @ iter =  96200
training @ iter =  96300
training @ iter =  96400
training @ iter =  96500
training @ iter =  96600
training @ iter =  96700
training @ iter =  96800
training @ iter =  96900
training @ iter =  97000
training @ iter =  97100
training @ iter =  97200
training @ iter =  97300
training @ iter =  97400
training @ iter =  97500
training @ iter =  97600
training @ iter =  97700
training @ iter =  97800
training @ iter =  97900
epoch 28, minibatch 3500/3500, validation error 0.680000 %
training @ iter =  98000
training @ iter =  98100
training @ iter =  98200
training @ iter =  98300
training @ iter =  98400
training @ iter =  98500
training @ iter =  98600
training @ iter =  98700
training @ iter =  98800
training @ iter =  98900
training @ iter =  99000
training @ iter =  99100
training @ iter =  99200
training @ iter =  99300
training @ iter =  99400
training @ iter =  99500
training @ iter =  99600
training @ iter =  99700
training @ iter =  99800
training @ iter =  99900
training @ iter =  100000
training @ iter =  100100
training @ iter =  100200
training @ iter =  100300
training @ iter =  100400
training @ iter =  100500
training @ iter =  100600
training @ iter =  100700
training @ iter =  100800
training @ iter =  100900
training @ iter =  101000
training @ iter =  101100
training @ iter =  101200
training @ iter =  101300
training @ iter =  101400
epoch 29, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  101500
training @ iter =  101600
training @ iter =  101700
training @ iter =  101800
training @ iter =  101900
training @ iter =  102000
training @ iter =  102100
training @ iter =  102200
training @ iter =  102300
training @ iter =  102400
training @ iter =  102500
training @ iter =  102600
training @ iter =  102700
training @ iter =  102800
training @ iter =  102900
training @ iter =  103000
training @ iter =  103100
training @ iter =  103200
training @ iter =  103300
training @ iter =  103400
training @ iter =  103500
training @ iter =  103600
training @ iter =  103700
training @ iter =  103800
training @ iter =  103900
training @ iter =  104000
training @ iter =  104100
training @ iter =  104200
training @ iter =  104300
training @ iter =  104400
training @ iter =  104500
training @ iter =  104600
training @ iter =  104700
training @ iter =  104800
training @ iter =  104900
epoch 30, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  105000
training @ iter =  105100
training @ iter =  105200
training @ iter =  105300
training @ iter =  105400
training @ iter =  105500
training @ iter =  105600
training @ iter =  105700
training @ iter =  105800
training @ iter =  105900
training @ iter =  106000
training @ iter =  106100
training @ iter =  106200
training @ iter =  106300
training @ iter =  106400
training @ iter =  106500
training @ iter =  106600
training @ iter =  106700
training @ iter =  106800
training @ iter =  106900
training @ iter =  107000
training @ iter =  107100
training @ iter =  107200
training @ iter =  107300
training @ iter =  107400
training @ iter =  107500
training @ iter =  107600
training @ iter =  107700
training @ iter =  107800
training @ iter =  107900
training @ iter =  108000
training @ iter =  108100
training @ iter =  108200
training @ iter =  108300
training @ iter =  108400
epoch 31, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  108500
training @ iter =  108600
training @ iter =  108700
training @ iter =  108800
training @ iter =  108900
training @ iter =  109000
training @ iter =  109100
training @ iter =  109200
training @ iter =  109300
training @ iter =  109400
training @ iter =  109500
training @ iter =  109600
training @ iter =  109700
training @ iter =  109800
training @ iter =  109900
training @ iter =  110000
training @ iter =  110100
training @ iter =  110200
training @ iter =  110300
training @ iter =  110400
training @ iter =  110500
training @ iter =  110600
training @ iter =  110700
training @ iter =  110800
training @ iter =  110900
training @ iter =  111000
training @ iter =  111100
training @ iter =  111200
training @ iter =  111300
training @ iter =  111400
training @ iter =  111500
training @ iter =  111600
training @ iter =  111700
training @ iter =  111800
training @ iter =  111900
epoch 32, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  112000
training @ iter =  112100
training @ iter =  112200
training @ iter =  112300
training @ iter =  112400
training @ iter =  112500
training @ iter =  112600
training @ iter =  112700
training @ iter =  112800
training @ iter =  112900
training @ iter =  113000
training @ iter =  113100
training @ iter =  113200
training @ iter =  113300
training @ iter =  113400
training @ iter =  113500
training @ iter =  113600
training @ iter =  113700
training @ iter =  113800
training @ iter =  113900
training @ iter =  114000
training @ iter =  114100
training @ iter =  114200
training @ iter =  114300
training @ iter =  114400
training @ iter =  114500
training @ iter =  114600
training @ iter =  114700
training @ iter =  114800
training @ iter =  114900
training @ iter =  115000
training @ iter =  115100
training @ iter =  115200
training @ iter =  115300
training @ iter =  115400
epoch 33, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  115500
training @ iter =  115600
training @ iter =  115700
training @ iter =  115800
training @ iter =  115900
training @ iter =  116000
training @ iter =  116100
training @ iter =  116200
training @ iter =  116300
training @ iter =  116400
training @ iter =  116500
training @ iter =  116600
training @ iter =  116700
training @ iter =  116800
training @ iter =  116900
training @ iter =  117000
training @ iter =  117100
training @ iter =  117200
training @ iter =  117300
training @ iter =  117400
training @ iter =  117500
training @ iter =  117600
training @ iter =  117700
training @ iter =  117800
training @ iter =  117900
training @ iter =  118000
training @ iter =  118100
training @ iter =  118200
training @ iter =  118300
training @ iter =  118400
training @ iter =  118500
training @ iter =  118600
training @ iter =  118700
training @ iter =  118800
training @ iter =  118900
epoch 34, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  119000
training @ iter =  119100
training @ iter =  119200
training @ iter =  119300
training @ iter =  119400
training @ iter =  119500
training @ iter =  119600
training @ iter =  119700
training @ iter =  119800
training @ iter =  119900
training @ iter =  120000
training @ iter =  120100
training @ iter =  120200
training @ iter =  120300
training @ iter =  120400
training @ iter =  120500
training @ iter =  120600
training @ iter =  120700
training @ iter =  120800
training @ iter =  120900
training @ iter =  121000
training @ iter =  121100
training @ iter =  121200
training @ iter =  121300
training @ iter =  121400
training @ iter =  121500
training @ iter =  121600
training @ iter =  121700
training @ iter =  121800
training @ iter =  121900
training @ iter =  122000
training @ iter =  122100
training @ iter =  122200
training @ iter =  122300
training @ iter =  122400
epoch 35, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  122500
training @ iter =  122600
training @ iter =  122700
training @ iter =  122800
training @ iter =  122900
training @ iter =  123000
training @ iter =  123100
training @ iter =  123200
training @ iter =  123300
training @ iter =  123400
training @ iter =  123500
training @ iter =  123600
training @ iter =  123700
training @ iter =  123800
training @ iter =  123900
training @ iter =  124000
training @ iter =  124100
training @ iter =  124200
training @ iter =  124300
training @ iter =  124400
training @ iter =  124500
training @ iter =  124600
training @ iter =  124700
training @ iter =  124800
training @ iter =  124900
training @ iter =  125000
training @ iter =  125100
training @ iter =  125200
training @ iter =  125300
training @ iter =  125400
training @ iter =  125500
training @ iter =  125600
training @ iter =  125700
training @ iter =  125800
training @ iter =  125900
epoch 36, minibatch 3500/3500, validation error 0.630000 %
     epoch 36, minibatch 3500/3500, test error of best model 0.720000 %
training @ iter =  126000
training @ iter =  126100
training @ iter =  126200
training @ iter =  126300
training @ iter =  126400
training @ iter =  126500
training @ iter =  126600
training @ iter =  126700
training @ iter =  126800
training @ iter =  126900
training @ iter =  127000
training @ iter =  127100
training @ iter =  127200
training @ iter =  127300
training @ iter =  127400
training @ iter =  127500
training @ iter =  127600
training @ iter =  127700
training @ iter =  127800
training @ iter =  127900
training @ iter =  128000
training @ iter =  128100
training @ iter =  128200
training @ iter =  128300
training @ iter =  128400
training @ iter =  128500
training @ iter =  128600
training @ iter =  128700
training @ iter =  128800
training @ iter =  128900
training @ iter =  129000
training @ iter =  129100
training @ iter =  129200
training @ iter =  129300
training @ iter =  129400
epoch 37, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  129500
training @ iter =  129600
training @ iter =  129700
training @ iter =  129800
training @ iter =  129900
training @ iter =  130000
training @ iter =  130100
training @ iter =  130200
training @ iter =  130300
training @ iter =  130400
training @ iter =  130500
training @ iter =  130600
training @ iter =  130700
training @ iter =  130800
training @ iter =  130900
training @ iter =  131000
training @ iter =  131100
training @ iter =  131200
training @ iter =  131300
training @ iter =  131400
training @ iter =  131500
training @ iter =  131600
training @ iter =  131700
training @ iter =  131800
training @ iter =  131900
training @ iter =  132000
training @ iter =  132100
training @ iter =  132200
training @ iter =  132300
training @ iter =  132400
training @ iter =  132500
training @ iter =  132600
training @ iter =  132700
training @ iter =  132800
training @ iter =  132900
epoch 38, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  133000
training @ iter =  133100
training @ iter =  133200
training @ iter =  133300
training @ iter =  133400
training @ iter =  133500
training @ iter =  133600
training @ iter =  133700
training @ iter =  133800
training @ iter =  133900
training @ iter =  134000
training @ iter =  134100
training @ iter =  134200
training @ iter =  134300
training @ iter =  134400
training @ iter =  134500
training @ iter =  134600
training @ iter =  134700
training @ iter =  134800
training @ iter =  134900
training @ iter =  135000
training @ iter =  135100
training @ iter =  135200
training @ iter =  135300
training @ iter =  135400
training @ iter =  135500
training @ iter =  135600
training @ iter =  135700
training @ iter =  135800
training @ iter =  135900
training @ iter =  136000
training @ iter =  136100
training @ iter =  136200
training @ iter =  136300
training @ iter =  136400
epoch 39, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  136500
training @ iter =  136600
training @ iter =  136700
training @ iter =  136800
training @ iter =  136900
training @ iter =  137000
training @ iter =  137100
training @ iter =  137200
training @ iter =  137300
training @ iter =  137400
training @ iter =  137500
training @ iter =  137600
training @ iter =  137700
training @ iter =  137800
training @ iter =  137900
training @ iter =  138000
training @ iter =  138100
training @ iter =  138200
training @ iter =  138300
training @ iter =  138400
training @ iter =  138500
training @ iter =  138600
training @ iter =  138700
training @ iter =  138800
training @ iter =  138900
training @ iter =  139000
training @ iter =  139100
training @ iter =  139200
training @ iter =  139300
training @ iter =  139400
training @ iter =  139500
training @ iter =  139600
training @ iter =  139700
training @ iter =  139800
training @ iter =  139900
epoch 40, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  140000
training @ iter =  140100
training @ iter =  140200
training @ iter =  140300
training @ iter =  140400
training @ iter =  140500
training @ iter =  140600
training @ iter =  140700
training @ iter =  140800
training @ iter =  140900
training @ iter =  141000
training @ iter =  141100
training @ iter =  141200
training @ iter =  141300
training @ iter =  141400
training @ iter =  141500
training @ iter =  141600
training @ iter =  141700
training @ iter =  141800
training @ iter =  141900
training @ iter =  142000
training @ iter =  142100
training @ iter =  142200
training @ iter =  142300
training @ iter =  142400
training @ iter =  142500
training @ iter =  142600
training @ iter =  142700
training @ iter =  142800
training @ iter =  142900
training @ iter =  143000
training @ iter =  143100
training @ iter =  143200
training @ iter =  143300
training @ iter =  143400
epoch 41, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  143500
training @ iter =  143600
training @ iter =  143700
training @ iter =  143800
training @ iter =  143900
training @ iter =  144000
training @ iter =  144100
training @ iter =  144200
training @ iter =  144300
training @ iter =  144400
training @ iter =  144500
training @ iter =  144600
training @ iter =  144700
training @ iter =  144800
training @ iter =  144900
training @ iter =  145000
training @ iter =  145100
training @ iter =  145200
training @ iter =  145300
training @ iter =  145400
training @ iter =  145500
training @ iter =  145600
training @ iter =  145700
training @ iter =  145800
training @ iter =  145900
training @ iter =  146000
training @ iter =  146100
training @ iter =  146200
training @ iter =  146300
training @ iter =  146400
training @ iter =  146500
training @ iter =  146600
training @ iter =  146700
training @ iter =  146800
training @ iter =  146900
epoch 42, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  147000
training @ iter =  147100
training @ iter =  147200
training @ iter =  147300
training @ iter =  147400
training @ iter =  147500
training @ iter =  147600
training @ iter =  147700
training @ iter =  147800
training @ iter =  147900
training @ iter =  148000
training @ iter =  148100
training @ iter =  148200
training @ iter =  148300
training @ iter =  148400
training @ iter =  148500
training @ iter =  148600
training @ iter =  148700
training @ iter =  148800
training @ iter =  148900
training @ iter =  149000
training @ iter =  149100
training @ iter =  149200
training @ iter =  149300
training @ iter =  149400
training @ iter =  149500
training @ iter =  149600
training @ iter =  149700
training @ iter =  149800
training @ iter =  149900
training @ iter =  150000
training @ iter =  150100
training @ iter =  150200
training @ iter =  150300
training @ iter =  150400
epoch 43, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  150500
training @ iter =  150600
training @ iter =  150700
training @ iter =  150800
training @ iter =  150900
training @ iter =  151000
training @ iter =  151100
training @ iter =  151200
training @ iter =  151300
training @ iter =  151400
training @ iter =  151500
training @ iter =  151600
training @ iter =  151700
training @ iter =  151800
training @ iter =  151900
training @ iter =  152000
training @ iter =  152100
training @ iter =  152200
training @ iter =  152300
training @ iter =  152400
training @ iter =  152500
training @ iter =  152600
training @ iter =  152700
training @ iter =  152800
training @ iter =  152900
training @ iter =  153000
training @ iter =  153100
training @ iter =  153200
training @ iter =  153300
training @ iter =  153400
training @ iter =  153500
training @ iter =  153600
training @ iter =  153700
training @ iter =  153800
training @ iter =  153900
epoch 44, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  154000
training @ iter =  154100
training @ iter =  154200
training @ iter =  154300
training @ iter =  154400
training @ iter =  154500
training @ iter =  154600
training @ iter =  154700
training @ iter =  154800
training @ iter =  154900
training @ iter =  155000
training @ iter =  155100
training @ iter =  155200
training @ iter =  155300
training @ iter =  155400
training @ iter =  155500
training @ iter =  155600
training @ iter =  155700
training @ iter =  155800
training @ iter =  155900
training @ iter =  156000
training @ iter =  156100
training @ iter =  156200
training @ iter =  156300
training @ iter =  156400
training @ iter =  156500
training @ iter =  156600
training @ iter =  156700
training @ iter =  156800
training @ iter =  156900
training @ iter =  157000
training @ iter =  157100
training @ iter =  157200
training @ iter =  157300
training @ iter =  157400
epoch 45, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  157500
training @ iter =  157600
training @ iter =  157700
training @ iter =  157800
training @ iter =  157900
training @ iter =  158000
training @ iter =  158100
training @ iter =  158200
training @ iter =  158300
training @ iter =  158400
training @ iter =  158500
training @ iter =  158600
training @ iter =  158700
training @ iter =  158800
training @ iter =  158900
training @ iter =  159000
training @ iter =  159100
training @ iter =  159200
training @ iter =  159300
training @ iter =  159400
training @ iter =  159500
training @ iter =  159600
training @ iter =  159700
training @ iter =  159800
training @ iter =  159900
training @ iter =  160000
training @ iter =  160100
training @ iter =  160200
training @ iter =  160300
training @ iter =  160400
training @ iter =  160500
training @ iter =  160600
training @ iter =  160700
training @ iter =  160800
training @ iter =  160900
epoch 46, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  161000
training @ iter =  161100
training @ iter =  161200
training @ iter =  161300
training @ iter =  161400
training @ iter =  161500
training @ iter =  161600
training @ iter =  161700
training @ iter =  161800
training @ iter =  161900
training @ iter =  162000
training @ iter =  162100
training @ iter =  162200
training @ iter =  162300
training @ iter =  162400
training @ iter =  162500
training @ iter =  162600
training @ iter =  162700
training @ iter =  162800
training @ iter =  162900
training @ iter =  163000
training @ iter =  163100
training @ iter =  163200
training @ iter =  163300
training @ iter =  163400
training @ iter =  163500
training @ iter =  163600
training @ iter =  163700
training @ iter =  163800
training @ iter =  163900
training @ iter =  164000
training @ iter =  164100
training @ iter =  164200
training @ iter =  164300
training @ iter =  164400
epoch 47, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  164500
training @ iter =  164600
training @ iter =  164700
training @ iter =  164800
training @ iter =  164900
training @ iter =  165000
training @ iter =  165100
training @ iter =  165200
training @ iter =  165300
training @ iter =  165400
training @ iter =  165500
training @ iter =  165600
training @ iter =  165700
training @ iter =  165800
training @ iter =  165900
training @ iter =  166000
training @ iter =  166100
training @ iter =  166200
training @ iter =  166300
training @ iter =  166400
training @ iter =  166500
training @ iter =  166600
training @ iter =  166700
training @ iter =  166800
training @ iter =  166900
training @ iter =  167000
training @ iter =  167100
training @ iter =  167200
training @ iter =  167300
training @ iter =  167400
training @ iter =  167500
training @ iter =  167600
training @ iter =  167700
training @ iter =  167800
training @ iter =  167900
epoch 48, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  168000
training @ iter =  168100
training @ iter =  168200
training @ iter =  168300
training @ iter =  168400
training @ iter =  168500
training @ iter =  168600
training @ iter =  168700
training @ iter =  168800
training @ iter =  168900
training @ iter =  169000
training @ iter =  169100
training @ iter =  169200
training @ iter =  169300
training @ iter =  169400
training @ iter =  169500
training @ iter =  169600
training @ iter =  169700
training @ iter =  169800
training @ iter =  169900
training @ iter =  170000
training @ iter =  170100
training @ iter =  170200
training @ iter =  170300
training @ iter =  170400
training @ iter =  170500
training @ iter =  170600
training @ iter =  170700
training @ iter =  170800
training @ iter =  170900
training @ iter =  171000
training @ iter =  171100
training @ iter =  171200
training @ iter =  171300
training @ iter =  171400
epoch 49, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  171500
training @ iter =  171600
training @ iter =  171700
training @ iter =  171800
training @ iter =  171900
training @ iter =  172000
training @ iter =  172100
training @ iter =  172200
training @ iter =  172300
training @ iter =  172400
training @ iter =  172500
training @ iter =  172600
training @ iter =  172700
training @ iter =  172800
training @ iter =  172900
training @ iter =  173000
training @ iter =  173100
training @ iter =  173200
training @ iter =  173300
training @ iter =  173400
training @ iter =  173500
training @ iter =  173600
training @ iter =  173700
training @ iter =  173800
training @ iter =  173900
training @ iter =  174000
training @ iter =  174100
training @ iter =  174200
training @ iter =  174300
training @ iter =  174400
training @ iter =  174500
training @ iter =  174600
training @ iter =  174700
training @ iter =  174800
training @ iter =  174900
epoch 50, minibatch 3500/3500, validation error 0.680000 %
training @ iter =  175000
training @ iter =  175100
training @ iter =  175200
training @ iter =  175300
training @ iter =  175400
training @ iter =  175500
training @ iter =  175600
training @ iter =  175700
training @ iter =  175800
training @ iter =  175900
training @ iter =  176000
training @ iter =  176100
training @ iter =  176200
training @ iter =  176300
training @ iter =  176400
training @ iter =  176500
training @ iter =  176600
training @ iter =  176700
training @ iter =  176800
training @ iter =  176900
training @ iter =  177000
training @ iter =  177100
training @ iter =  177200
training @ iter =  177300
training @ iter =  177400
training @ iter =  177500
training @ iter =  177600
training @ iter =  177700
training @ iter =  177800
training @ iter =  177900
training @ iter =  178000
training @ iter =  178100
training @ iter =  178200
training @ iter =  178300
training @ iter =  178400
epoch 51, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  178500
training @ iter =  178600
training @ iter =  178700
training @ iter =  178800
training @ iter =  178900
training @ iter =  179000
training @ iter =  179100
training @ iter =  179200
training @ iter =  179300
training @ iter =  179400
training @ iter =  179500
training @ iter =  179600
training @ iter =  179700
training @ iter =  179800
training @ iter =  179900
training @ iter =  180000
training @ iter =  180100
training @ iter =  180200
training @ iter =  180300
training @ iter =  180400
training @ iter =  180500
training @ iter =  180600
training @ iter =  180700
training @ iter =  180800
training @ iter =  180900
training @ iter =  181000
training @ iter =  181100
training @ iter =  181200
training @ iter =  181300
training @ iter =  181400
training @ iter =  181500
training @ iter =  181600
training @ iter =  181700
training @ iter =  181800
training @ iter =  181900
epoch 52, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  182000
training @ iter =  182100
training @ iter =  182200
training @ iter =  182300
training @ iter =  182400
training @ iter =  182500
training @ iter =  182600
training @ iter =  182700
training @ iter =  182800
training @ iter =  182900
training @ iter =  183000
training @ iter =  183100
training @ iter =  183200
training @ iter =  183300
training @ iter =  183400
training @ iter =  183500
training @ iter =  183600
training @ iter =  183700
training @ iter =  183800
training @ iter =  183900
training @ iter =  184000
training @ iter =  184100
training @ iter =  184200
training @ iter =  184300
training @ iter =  184400
training @ iter =  184500
training @ iter =  184600
training @ iter =  184700
training @ iter =  184800
training @ iter =  184900
training @ iter =  185000
training @ iter =  185100
training @ iter =  185200
training @ iter =  185300
training @ iter =  185400
epoch 53, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  185500
training @ iter =  185600
training @ iter =  185700
training @ iter =  185800
training @ iter =  185900
training @ iter =  186000
training @ iter =  186100
training @ iter =  186200
training @ iter =  186300
training @ iter =  186400
training @ iter =  186500
training @ iter =  186600
training @ iter =  186700
training @ iter =  186800
training @ iter =  186900
training @ iter =  187000
training @ iter =  187100
training @ iter =  187200
training @ iter =  187300
training @ iter =  187400
training @ iter =  187500
training @ iter =  187600
training @ iter =  187700
training @ iter =  187800
training @ iter =  187900
training @ iter =  188000
training @ iter =  188100
training @ iter =  188200
training @ iter =  188300
training @ iter =  188400
training @ iter =  188500
training @ iter =  188600
training @ iter =  188700
training @ iter =  188800
training @ iter =  188900
epoch 54, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  189000
training @ iter =  189100
training @ iter =  189200
training @ iter =  189300
training @ iter =  189400
training @ iter =  189500
training @ iter =  189600
training @ iter =  189700
training @ iter =  189800
training @ iter =  189900
training @ iter =  190000
training @ iter =  190100
training @ iter =  190200
training @ iter =  190300
training @ iter =  190400
training @ iter =  190500
training @ iter =  190600
training @ iter =  190700
training @ iter =  190800
training @ iter =  190900
training @ iter =  191000
training @ iter =  191100
training @ iter =  191200
training @ iter =  191300
training @ iter =  191400
training @ iter =  191500
training @ iter =  191600
training @ iter =  191700
training @ iter =  191800
training @ iter =  191900
training @ iter =  192000
training @ iter =  192100
training @ iter =  192200
training @ iter =  192300
training @ iter =  192400
epoch 55, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  192500
training @ iter =  192600
training @ iter =  192700
training @ iter =  192800
training @ iter =  192900
training @ iter =  193000
training @ iter =  193100
training @ iter =  193200
training @ iter =  193300
training @ iter =  193400
training @ iter =  193500
training @ iter =  193600
training @ iter =  193700
training @ iter =  193800
training @ iter =  193900
training @ iter =  194000
training @ iter =  194100
training @ iter =  194200
training @ iter =  194300
training @ iter =  194400
training @ iter =  194500
training @ iter =  194600
training @ iter =  194700
training @ iter =  194800
training @ iter =  194900
training @ iter =  195000
training @ iter =  195100
training @ iter =  195200
training @ iter =  195300
training @ iter =  195400
training @ iter =  195500
training @ iter =  195600
training @ iter =  195700
training @ iter =  195800
training @ iter =  195900
epoch 56, minibatch 3500/3500, validation error 0.620000 %
     epoch 56, minibatch 3500/3500, test error of best model 0.640000 %
training @ iter =  196000
training @ iter =  196100
training @ iter =  196200
training @ iter =  196300
training @ iter =  196400
training @ iter =  196500
training @ iter =  196600
training @ iter =  196700
training @ iter =  196800
training @ iter =  196900
training @ iter =  197000
training @ iter =  197100
training @ iter =  197200
training @ iter =  197300
training @ iter =  197400
training @ iter =  197500
training @ iter =  197600
training @ iter =  197700
training @ iter =  197800
training @ iter =  197900
training @ iter =  198000
training @ iter =  198100
training @ iter =  198200
training @ iter =  198300
training @ iter =  198400
training @ iter =  198500
training @ iter =  198600
training @ iter =  198700
training @ iter =  198800
training @ iter =  198900
training @ iter =  199000
training @ iter =  199100
training @ iter =  199200
training @ iter =  199300
training @ iter =  199400
epoch 57, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  199500
training @ iter =  199600
training @ iter =  199700
training @ iter =  199800
training @ iter =  199900
training @ iter =  200000
training @ iter =  200100
training @ iter =  200200
training @ iter =  200300
training @ iter =  200400
training @ iter =  200500
training @ iter =  200600
training @ iter =  200700
training @ iter =  200800
training @ iter =  200900
training @ iter =  201000
training @ iter =  201100
training @ iter =  201200
training @ iter =  201300
training @ iter =  201400
training @ iter =  201500
training @ iter =  201600
training @ iter =  201700
training @ iter =  201800
training @ iter =  201900
training @ iter =  202000
training @ iter =  202100
training @ iter =  202200
training @ iter =  202300
training @ iter =  202400
training @ iter =  202500
training @ iter =  202600
training @ iter =  202700
training @ iter =  202800
training @ iter =  202900
epoch 58, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  203000
training @ iter =  203100
training @ iter =  203200
training @ iter =  203300
training @ iter =  203400
training @ iter =  203500
training @ iter =  203600
training @ iter =  203700
training @ iter =  203800
training @ iter =  203900
training @ iter =  204000
training @ iter =  204100
training @ iter =  204200
training @ iter =  204300
training @ iter =  204400
training @ iter =  204500
training @ iter =  204600
training @ iter =  204700
training @ iter =  204800
training @ iter =  204900
training @ iter =  205000
training @ iter =  205100
training @ iter =  205200
training @ iter =  205300
training @ iter =  205400
training @ iter =  205500
training @ iter =  205600
training @ iter =  205700
training @ iter =  205800
training @ iter =  205900
training @ iter =  206000
training @ iter =  206100
training @ iter =  206200
training @ iter =  206300
training @ iter =  206400
epoch 59, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  206500
training @ iter =  206600
training @ iter =  206700
training @ iter =  206800
training @ iter =  206900
training @ iter =  207000
training @ iter =  207100
training @ iter =  207200
training @ iter =  207300
training @ iter =  207400
training @ iter =  207500
training @ iter =  207600
training @ iter =  207700
training @ iter =  207800
training @ iter =  207900
training @ iter =  208000
training @ iter =  208100
training @ iter =  208200
training @ iter =  208300
training @ iter =  208400
training @ iter =  208500
training @ iter =  208600
training @ iter =  208700
training @ iter =  208800
training @ iter =  208900
training @ iter =  209000
training @ iter =  209100
training @ iter =  209200
training @ iter =  209300
training @ iter =  209400
training @ iter =  209500
training @ iter =  209600
training @ iter =  209700
training @ iter =  209800
training @ iter =  209900
epoch 60, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  210000
training @ iter =  210100
training @ iter =  210200
training @ iter =  210300
training @ iter =  210400
training @ iter =  210500
training @ iter =  210600
training @ iter =  210700
training @ iter =  210800
training @ iter =  210900
training @ iter =  211000
training @ iter =  211100
training @ iter =  211200
training @ iter =  211300
training @ iter =  211400
training @ iter =  211500
training @ iter =  211600
training @ iter =  211700
training @ iter =  211800
training @ iter =  211900
training @ iter =  212000
training @ iter =  212100
training @ iter =  212200
training @ iter =  212300
training @ iter =  212400
training @ iter =  212500
training @ iter =  212600
training @ iter =  212700
training @ iter =  212800
training @ iter =  212900
training @ iter =  213000
training @ iter =  213100
training @ iter =  213200
training @ iter =  213300
training @ iter =  213400
epoch 61, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  213500
training @ iter =  213600
training @ iter =  213700
training @ iter =  213800
training @ iter =  213900
training @ iter =  214000
training @ iter =  214100
training @ iter =  214200
training @ iter =  214300
training @ iter =  214400
training @ iter =  214500
training @ iter =  214600
training @ iter =  214700
training @ iter =  214800
training @ iter =  214900
training @ iter =  215000
training @ iter =  215100
training @ iter =  215200
training @ iter =  215300
training @ iter =  215400
training @ iter =  215500
training @ iter =  215600
training @ iter =  215700
training @ iter =  215800
training @ iter =  215900
training @ iter =  216000
training @ iter =  216100
training @ iter =  216200
training @ iter =  216300
training @ iter =  216400
training @ iter =  216500
training @ iter =  216600
training @ iter =  216700
training @ iter =  216800
training @ iter =  216900
epoch 62, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  217000
training @ iter =  217100
training @ iter =  217200
training @ iter =  217300
training @ iter =  217400
training @ iter =  217500
training @ iter =  217600
training @ iter =  217700
training @ iter =  217800
training @ iter =  217900
training @ iter =  218000
training @ iter =  218100
training @ iter =  218200
training @ iter =  218300
training @ iter =  218400
training @ iter =  218500
training @ iter =  218600
training @ iter =  218700
training @ iter =  218800
training @ iter =  218900
training @ iter =  219000
training @ iter =  219100
training @ iter =  219200
training @ iter =  219300
training @ iter =  219400
training @ iter =  219500
training @ iter =  219600
training @ iter =  219700
training @ iter =  219800
training @ iter =  219900
training @ iter =  220000
training @ iter =  220100
training @ iter =  220200
training @ iter =  220300
training @ iter =  220400
epoch 63, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  220500
training @ iter =  220600
training @ iter =  220700
training @ iter =  220800
training @ iter =  220900
training @ iter =  221000
training @ iter =  221100
training @ iter =  221200
training @ iter =  221300
training @ iter =  221400
training @ iter =  221500
training @ iter =  221600
training @ iter =  221700
training @ iter =  221800
training @ iter =  221900
training @ iter =  222000
training @ iter =  222100
training @ iter =  222200
training @ iter =  222300
training @ iter =  222400
training @ iter =  222500
training @ iter =  222600
training @ iter =  222700
training @ iter =  222800
training @ iter =  222900
training @ iter =  223000
training @ iter =  223100
training @ iter =  223200
training @ iter =  223300
training @ iter =  223400
training @ iter =  223500
training @ iter =  223600
training @ iter =  223700
training @ iter =  223800
training @ iter =  223900
epoch 64, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  224000
training @ iter =  224100
training @ iter =  224200
training @ iter =  224300
training @ iter =  224400
training @ iter =  224500
training @ iter =  224600
training @ iter =  224700
training @ iter =  224800
training @ iter =  224900
training @ iter =  225000
training @ iter =  225100
training @ iter =  225200
training @ iter =  225300
training @ iter =  225400
training @ iter =  225500
training @ iter =  225600
training @ iter =  225700
training @ iter =  225800
training @ iter =  225900
training @ iter =  226000
training @ iter =  226100
training @ iter =  226200
training @ iter =  226300
training @ iter =  226400
training @ iter =  226500
training @ iter =  226600
training @ iter =  226700
training @ iter =  226800
training @ iter =  226900
training @ iter =  227000
training @ iter =  227100
training @ iter =  227200
training @ iter =  227300
training @ iter =  227400
epoch 65, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  227500
training @ iter =  227600
training @ iter =  227700
training @ iter =  227800
training @ iter =  227900
training @ iter =  228000
training @ iter =  228100
training @ iter =  228200
training @ iter =  228300
training @ iter =  228400
training @ iter =  228500
training @ iter =  228600
training @ iter =  228700
training @ iter =  228800
training @ iter =  228900
training @ iter =  229000
training @ iter =  229100
training @ iter =  229200
training @ iter =  229300
training @ iter =  229400
training @ iter =  229500
training @ iter =  229600
training @ iter =  229700
training @ iter =  229800
training @ iter =  229900
training @ iter =  230000
training @ iter =  230100
training @ iter =  230200
training @ iter =  230300
training @ iter =  230400
training @ iter =  230500
training @ iter =  230600
training @ iter =  230700
training @ iter =  230800
training @ iter =  230900
epoch 66, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  231000
training @ iter =  231100
training @ iter =  231200
training @ iter =  231300
training @ iter =  231400
training @ iter =  231500
training @ iter =  231600
training @ iter =  231700
training @ iter =  231800
training @ iter =  231900
training @ iter =  232000
training @ iter =  232100
training @ iter =  232200
training @ iter =  232300
training @ iter =  232400
training @ iter =  232500
training @ iter =  232600
training @ iter =  232700
training @ iter =  232800
training @ iter =  232900
training @ iter =  233000
training @ iter =  233100
training @ iter =  233200
training @ iter =  233300
training @ iter =  233400
training @ iter =  233500
training @ iter =  233600
training @ iter =  233700
training @ iter =  233800
training @ iter =  233900
training @ iter =  234000
training @ iter =  234100
training @ iter =  234200
training @ iter =  234300
training @ iter =  234400
epoch 67, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  234500
training @ iter =  234600
training @ iter =  234700
training @ iter =  234800
training @ iter =  234900
training @ iter =  235000
training @ iter =  235100
training @ iter =  235200
training @ iter =  235300
training @ iter =  235400
training @ iter =  235500
training @ iter =  235600
training @ iter =  235700
training @ iter =  235800
training @ iter =  235900
training @ iter =  236000
training @ iter =  236100
training @ iter =  236200
training @ iter =  236300
training @ iter =  236400
training @ iter =  236500
training @ iter =  236600
training @ iter =  236700
training @ iter =  236800
training @ iter =  236900
training @ iter =  237000
training @ iter =  237100
training @ iter =  237200
training @ iter =  237300
training @ iter =  237400
training @ iter =  237500
training @ iter =  237600
training @ iter =  237700
training @ iter =  237800
training @ iter =  237900
epoch 68, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  238000
training @ iter =  238100
training @ iter =  238200
training @ iter =  238300
training @ iter =  238400
training @ iter =  238500
training @ iter =  238600
training @ iter =  238700
training @ iter =  238800
training @ iter =  238900
training @ iter =  239000
training @ iter =  239100
training @ iter =  239200
training @ iter =  239300
training @ iter =  239400
training @ iter =  239500
training @ iter =  239600
training @ iter =  239700
training @ iter =  239800
training @ iter =  239900
training @ iter =  240000
training @ iter =  240100
training @ iter =  240200
training @ iter =  240300
training @ iter =  240400
training @ iter =  240500
training @ iter =  240600
training @ iter =  240700
training @ iter =  240800
training @ iter =  240900
training @ iter =  241000
training @ iter =  241100
training @ iter =  241200
training @ iter =  241300
training @ iter =  241400
epoch 69, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  241500
training @ iter =  241600
training @ iter =  241700
training @ iter =  241800
training @ iter =  241900
training @ iter =  242000
training @ iter =  242100
training @ iter =  242200
training @ iter =  242300
training @ iter =  242400
training @ iter =  242500
training @ iter =  242600
training @ iter =  242700
training @ iter =  242800
training @ iter =  242900
training @ iter =  243000
training @ iter =  243100
training @ iter =  243200
training @ iter =  243300
training @ iter =  243400
training @ iter =  243500
training @ iter =  243600
training @ iter =  243700
training @ iter =  243800
training @ iter =  243900
training @ iter =  244000
training @ iter =  244100
training @ iter =  244200
training @ iter =  244300
training @ iter =  244400
training @ iter =  244500
training @ iter =  244600
training @ iter =  244700
training @ iter =  244800
training @ iter =  244900
epoch 70, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  245000
training @ iter =  245100
training @ iter =  245200
training @ iter =  245300
training @ iter =  245400
training @ iter =  245500
training @ iter =  245600
training @ iter =  245700
training @ iter =  245800
training @ iter =  245900
training @ iter =  246000
training @ iter =  246100
training @ iter =  246200
training @ iter =  246300
training @ iter =  246400
training @ iter =  246500
training @ iter =  246600
training @ iter =  246700
training @ iter =  246800
training @ iter =  246900
training @ iter =  247000
training @ iter =  247100
training @ iter =  247200
training @ iter =  247300
training @ iter =  247400
training @ iter =  247500
training @ iter =  247600
training @ iter =  247700
training @ iter =  247800
training @ iter =  247900
training @ iter =  248000
training @ iter =  248100
training @ iter =  248200
training @ iter =  248300
training @ iter =  248400
epoch 71, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  248500
training @ iter =  248600
training @ iter =  248700
training @ iter =  248800
training @ iter =  248900
training @ iter =  249000
training @ iter =  249100
training @ iter =  249200
training @ iter =  249300
training @ iter =  249400
training @ iter =  249500
training @ iter =  249600
training @ iter =  249700
training @ iter =  249800
training @ iter =  249900
training @ iter =  250000
training @ iter =  250100
training @ iter =  250200
training @ iter =  250300
training @ iter =  250400
training @ iter =  250500
training @ iter =  250600
training @ iter =  250700
training @ iter =  250800
training @ iter =  250900
training @ iter =  251000
training @ iter =  251100
training @ iter =  251200
training @ iter =  251300
training @ iter =  251400
training @ iter =  251500
training @ iter =  251600
training @ iter =  251700
training @ iter =  251800
training @ iter =  251900
epoch 72, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  252000
training @ iter =  252100
training @ iter =  252200
training @ iter =  252300
training @ iter =  252400
training @ iter =  252500
training @ iter =  252600
training @ iter =  252700
training @ iter =  252800
training @ iter =  252900
training @ iter =  253000
training @ iter =  253100
training @ iter =  253200
training @ iter =  253300
training @ iter =  253400
training @ iter =  253500
training @ iter =  253600
training @ iter =  253700
training @ iter =  253800
training @ iter =  253900
training @ iter =  254000
training @ iter =  254100
training @ iter =  254200
training @ iter =  254300
training @ iter =  254400
training @ iter =  254500
training @ iter =  254600
training @ iter =  254700
training @ iter =  254800
training @ iter =  254900
training @ iter =  255000
training @ iter =  255100
training @ iter =  255200
training @ iter =  255300
training @ iter =  255400
epoch 73, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  255500
training @ iter =  255600
training @ iter =  255700
training @ iter =  255800
training @ iter =  255900
training @ iter =  256000
training @ iter =  256100
training @ iter =  256200
training @ iter =  256300
training @ iter =  256400
training @ iter =  256500
training @ iter =  256600
training @ iter =  256700
training @ iter =  256800
training @ iter =  256900
training @ iter =  257000
training @ iter =  257100
training @ iter =  257200
training @ iter =  257300
training @ iter =  257400
training @ iter =  257500
training @ iter =  257600
training @ iter =  257700
training @ iter =  257800
training @ iter =  257900
training @ iter =  258000
training @ iter =  258100
training @ iter =  258200
training @ iter =  258300
training @ iter =  258400
training @ iter =  258500
training @ iter =  258600
training @ iter =  258700
training @ iter =  258800
training @ iter =  258900
epoch 74, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  259000
training @ iter =  259100
training @ iter =  259200
training @ iter =  259300
training @ iter =  259400
training @ iter =  259500
training @ iter =  259600
training @ iter =  259700
training @ iter =  259800
training @ iter =  259900
training @ iter =  260000
training @ iter =  260100
training @ iter =  260200
training @ iter =  260300
training @ iter =  260400
training @ iter =  260500
training @ iter =  260600
training @ iter =  260700
training @ iter =  260800
training @ iter =  260900
training @ iter =  261000
training @ iter =  261100
training @ iter =  261200
training @ iter =  261300
training @ iter =  261400
training @ iter =  261500
training @ iter =  261600
training @ iter =  261700
training @ iter =  261800
training @ iter =  261900
training @ iter =  262000
training @ iter =  262100
training @ iter =  262200
training @ iter =  262300
training @ iter =  262400
epoch 75, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  262500
training @ iter =  262600
training @ iter =  262700
training @ iter =  262800
training @ iter =  262900
training @ iter =  263000
training @ iter =  263100
training @ iter =  263200
training @ iter =  263300
training @ iter =  263400
training @ iter =  263500
training @ iter =  263600
training @ iter =  263700
training @ iter =  263800
training @ iter =  263900
training @ iter =  264000
training @ iter =  264100
training @ iter =  264200
training @ iter =  264300
training @ iter =  264400
training @ iter =  264500
training @ iter =  264600
training @ iter =  264700
training @ iter =  264800
training @ iter =  264900
training @ iter =  265000
training @ iter =  265100
training @ iter =  265200
training @ iter =  265300
training @ iter =  265400
training @ iter =  265500
training @ iter =  265600
training @ iter =  265700
training @ iter =  265800
training @ iter =  265900
epoch 76, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  266000
training @ iter =  266100
training @ iter =  266200
training @ iter =  266300
training @ iter =  266400
training @ iter =  266500
training @ iter =  266600
training @ iter =  266700
training @ iter =  266800
training @ iter =  266900
training @ iter =  267000
training @ iter =  267100
training @ iter =  267200
training @ iter =  267300
training @ iter =  267400
training @ iter =  267500
training @ iter =  267600
training @ iter =  267700
training @ iter =  267800
training @ iter =  267900
training @ iter =  268000
training @ iter =  268100
training @ iter =  268200
training @ iter =  268300
training @ iter =  268400
training @ iter =  268500
training @ iter =  268600
training @ iter =  268700
training @ iter =  268800
training @ iter =  268900
training @ iter =  269000
training @ iter =  269100
training @ iter =  269200
training @ iter =  269300
training @ iter =  269400
epoch 77, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  269500
training @ iter =  269600
training @ iter =  269700
training @ iter =  269800
training @ iter =  269900
training @ iter =  270000
training @ iter =  270100
training @ iter =  270200
training @ iter =  270300
training @ iter =  270400
training @ iter =  270500
training @ iter =  270600
training @ iter =  270700
training @ iter =  270800
training @ iter =  270900
training @ iter =  271000
training @ iter =  271100
training @ iter =  271200
training @ iter =  271300
training @ iter =  271400
training @ iter =  271500
training @ iter =  271600
training @ iter =  271700
training @ iter =  271800
training @ iter =  271900
training @ iter =  272000
training @ iter =  272100
training @ iter =  272200
training @ iter =  272300
training @ iter =  272400
training @ iter =  272500
training @ iter =  272600
training @ iter =  272700
training @ iter =  272800
training @ iter =  272900
epoch 78, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  273000
training @ iter =  273100
training @ iter =  273200
training @ iter =  273300
training @ iter =  273400
training @ iter =  273500
training @ iter =  273600
training @ iter =  273700
training @ iter =  273800
training @ iter =  273900
training @ iter =  274000
training @ iter =  274100
training @ iter =  274200
training @ iter =  274300
training @ iter =  274400
training @ iter =  274500
training @ iter =  274600
training @ iter =  274700
training @ iter =  274800
training @ iter =  274900
training @ iter =  275000
training @ iter =  275100
training @ iter =  275200
training @ iter =  275300
training @ iter =  275400
training @ iter =  275500
training @ iter =  275600
training @ iter =  275700
training @ iter =  275800
training @ iter =  275900
training @ iter =  276000
training @ iter =  276100
training @ iter =  276200
training @ iter =  276300
training @ iter =  276400
epoch 79, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  276500
training @ iter =  276600
training @ iter =  276700
training @ iter =  276800
training @ iter =  276900
training @ iter =  277000
training @ iter =  277100
training @ iter =  277200
training @ iter =  277300
training @ iter =  277400
training @ iter =  277500
training @ iter =  277600
training @ iter =  277700
training @ iter =  277800
training @ iter =  277900
training @ iter =  278000
training @ iter =  278100
training @ iter =  278200
training @ iter =  278300
training @ iter =  278400
training @ iter =  278500
training @ iter =  278600
training @ iter =  278700
training @ iter =  278800
training @ iter =  278900
training @ iter =  279000
training @ iter =  279100
training @ iter =  279200
training @ iter =  279300
training @ iter =  279400
training @ iter =  279500
training @ iter =  279600
training @ iter =  279700
training @ iter =  279800
training @ iter =  279900
epoch 80, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  280000
training @ iter =  280100
training @ iter =  280200
training @ iter =  280300
training @ iter =  280400
training @ iter =  280500
training @ iter =  280600
training @ iter =  280700
training @ iter =  280800
training @ iter =  280900
training @ iter =  281000
training @ iter =  281100
training @ iter =  281200
training @ iter =  281300
training @ iter =  281400
training @ iter =  281500
training @ iter =  281600
training @ iter =  281700
training @ iter =  281800
training @ iter =  281900
training @ iter =  282000
training @ iter =  282100
training @ iter =  282200
training @ iter =  282300
training @ iter =  282400
training @ iter =  282500
training @ iter =  282600
training @ iter =  282700
training @ iter =  282800
training @ iter =  282900
training @ iter =  283000
training @ iter =  283100
training @ iter =  283200
training @ iter =  283300
training @ iter =  283400
epoch 81, minibatch 3500/3500, validation error 0.640000 %
training @ iter =  283500
training @ iter =  283600
training @ iter =  283700
training @ iter =  283800
training @ iter =  283900
training @ iter =  284000
training @ iter =  284100
training @ iter =  284200
training @ iter =  284300
training @ iter =  284400
training @ iter =  284500
training @ iter =  284600
training @ iter =  284700
training @ iter =  284800
training @ iter =  284900
training @ iter =  285000
training @ iter =  285100
training @ iter =  285200
training @ iter =  285300
training @ iter =  285400
training @ iter =  285500
training @ iter =  285600
training @ iter =  285700
training @ iter =  285800
training @ iter =  285900
training @ iter =  286000
training @ iter =  286100
training @ iter =  286200
training @ iter =  286300
training @ iter =  286400
training @ iter =  286500
training @ iter =  286600
training @ iter =  286700
training @ iter =  286800
training @ iter =  286900
epoch 82, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  287000
training @ iter =  287100
training @ iter =  287200
training @ iter =  287300
training @ iter =  287400
training @ iter =  287500
training @ iter =  287600
training @ iter =  287700
training @ iter =  287800
training @ iter =  287900
training @ iter =  288000
training @ iter =  288100
training @ iter =  288200
training @ iter =  288300
training @ iter =  288400
training @ iter =  288500
training @ iter =  288600
training @ iter =  288700
training @ iter =  288800
training @ iter =  288900
training @ iter =  289000
training @ iter =  289100
training @ iter =  289200
training @ iter =  289300
training @ iter =  289400
training @ iter =  289500
training @ iter =  289600
training @ iter =  289700
training @ iter =  289800
training @ iter =  289900
training @ iter =  290000
training @ iter =  290100
training @ iter =  290200
training @ iter =  290300
training @ iter =  290400
epoch 83, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  290500
training @ iter =  290600
training @ iter =  290700
training @ iter =  290800
training @ iter =  290900
training @ iter =  291000
training @ iter =  291100
training @ iter =  291200
training @ iter =  291300
training @ iter =  291400
training @ iter =  291500
training @ iter =  291600
training @ iter =  291700
training @ iter =  291800
training @ iter =  291900
training @ iter =  292000
training @ iter =  292100
training @ iter =  292200
training @ iter =  292300
training @ iter =  292400
training @ iter =  292500
training @ iter =  292600
training @ iter =  292700
training @ iter =  292800
training @ iter =  292900
training @ iter =  293000
training @ iter =  293100
training @ iter =  293200
training @ iter =  293300
training @ iter =  293400
training @ iter =  293500
training @ iter =  293600
training @ iter =  293700
training @ iter =  293800
training @ iter =  293900
epoch 84, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  294000
training @ iter =  294100
training @ iter =  294200
training @ iter =  294300
training @ iter =  294400
training @ iter =  294500
training @ iter =  294600
training @ iter =  294700
training @ iter =  294800
training @ iter =  294900
training @ iter =  295000
training @ iter =  295100
training @ iter =  295200
training @ iter =  295300
training @ iter =  295400
training @ iter =  295500
training @ iter =  295600
training @ iter =  295700
training @ iter =  295800
training @ iter =  295900
training @ iter =  296000
training @ iter =  296100
training @ iter =  296200
training @ iter =  296300
training @ iter =  296400
training @ iter =  296500
training @ iter =  296600
training @ iter =  296700
training @ iter =  296800
training @ iter =  296900
training @ iter =  297000
training @ iter =  297100
training @ iter =  297200
training @ iter =  297300
training @ iter =  297400
epoch 85, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  297500
training @ iter =  297600
training @ iter =  297700
training @ iter =  297800
training @ iter =  297900
training @ iter =  298000
training @ iter =  298100
training @ iter =  298200
training @ iter =  298300
training @ iter =  298400
training @ iter =  298500
training @ iter =  298600
training @ iter =  298700
training @ iter =  298800
training @ iter =  298900
training @ iter =  299000
training @ iter =  299100
training @ iter =  299200
training @ iter =  299300
training @ iter =  299400
training @ iter =  299500
training @ iter =  299600
training @ iter =  299700
training @ iter =  299800
training @ iter =  299900
training @ iter =  300000
training @ iter =  300100
training @ iter =  300200
training @ iter =  300300
training @ iter =  300400
training @ iter =  300500
training @ iter =  300600
training @ iter =  300700
training @ iter =  300800
training @ iter =  300900
epoch 86, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  301000
training @ iter =  301100
training @ iter =  301200
training @ iter =  301300
training @ iter =  301400
training @ iter =  301500
training @ iter =  301600
training @ iter =  301700
training @ iter =  301800
training @ iter =  301900
training @ iter =  302000
training @ iter =  302100
training @ iter =  302200
training @ iter =  302300
training @ iter =  302400
training @ iter =  302500
training @ iter =  302600
training @ iter =  302700
training @ iter =  302800
training @ iter =  302900
training @ iter =  303000
training @ iter =  303100
training @ iter =  303200
training @ iter =  303300
training @ iter =  303400
training @ iter =  303500
training @ iter =  303600
training @ iter =  303700
training @ iter =  303800
training @ iter =  303900
training @ iter =  304000
training @ iter =  304100
training @ iter =  304200
training @ iter =  304300
training @ iter =  304400
epoch 87, minibatch 3500/3500, validation error 0.610000 %
     epoch 87, minibatch 3500/3500, test error of best model 0.580000 %
training @ iter =  304500
training @ iter =  304600
training @ iter =  304700
training @ iter =  304800
training @ iter =  304900
training @ iter =  305000
training @ iter =  305100
training @ iter =  305200
training @ iter =  305300
training @ iter =  305400
training @ iter =  305500
training @ iter =  305600
training @ iter =  305700
training @ iter =  305800
training @ iter =  305900
training @ iter =  306000
training @ iter =  306100
training @ iter =  306200
training @ iter =  306300
training @ iter =  306400
training @ iter =  306500
training @ iter =  306600
training @ iter =  306700
training @ iter =  306800
training @ iter =  306900
training @ iter =  307000
training @ iter =  307100
training @ iter =  307200
training @ iter =  307300
training @ iter =  307400
training @ iter =  307500
training @ iter =  307600
training @ iter =  307700
training @ iter =  307800
training @ iter =  307900
epoch 88, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  308000
training @ iter =  308100
training @ iter =  308200
training @ iter =  308300
training @ iter =  308400
training @ iter =  308500
training @ iter =  308600
training @ iter =  308700
training @ iter =  308800
training @ iter =  308900
training @ iter =  309000
training @ iter =  309100
training @ iter =  309200
training @ iter =  309300
training @ iter =  309400
training @ iter =  309500
training @ iter =  309600
training @ iter =  309700
training @ iter =  309800
training @ iter =  309900
training @ iter =  310000
training @ iter =  310100
training @ iter =  310200
training @ iter =  310300
training @ iter =  310400
training @ iter =  310500
training @ iter =  310600
training @ iter =  310700
training @ iter =  310800
training @ iter =  310900
training @ iter =  311000
training @ iter =  311100
training @ iter =  311200
training @ iter =  311300
training @ iter =  311400
epoch 89, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  311500
training @ iter =  311600
training @ iter =  311700
training @ iter =  311800
training @ iter =  311900
training @ iter =  312000
training @ iter =  312100
training @ iter =  312200
training @ iter =  312300
training @ iter =  312400
training @ iter =  312500
training @ iter =  312600
training @ iter =  312700
training @ iter =  312800
training @ iter =  312900
training @ iter =  313000
training @ iter =  313100
training @ iter =  313200
training @ iter =  313300
training @ iter =  313400
training @ iter =  313500
training @ iter =  313600
training @ iter =  313700
training @ iter =  313800
training @ iter =  313900
training @ iter =  314000
training @ iter =  314100
training @ iter =  314200
training @ iter =  314300
training @ iter =  314400
training @ iter =  314500
training @ iter =  314600
training @ iter =  314700
training @ iter =  314800
training @ iter =  314900
epoch 90, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  315000
training @ iter =  315100
training @ iter =  315200
training @ iter =  315300
training @ iter =  315400
training @ iter =  315500
training @ iter =  315600
training @ iter =  315700
training @ iter =  315800
training @ iter =  315900
training @ iter =  316000
training @ iter =  316100
training @ iter =  316200
training @ iter =  316300
training @ iter =  316400
training @ iter =  316500
training @ iter =  316600
training @ iter =  316700
training @ iter =  316800
training @ iter =  316900
training @ iter =  317000
training @ iter =  317100
training @ iter =  317200
training @ iter =  317300
training @ iter =  317400
training @ iter =  317500
training @ iter =  317600
training @ iter =  317700
training @ iter =  317800
training @ iter =  317900
training @ iter =  318000
training @ iter =  318100
training @ iter =  318200
training @ iter =  318300
training @ iter =  318400
epoch 91, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  318500
training @ iter =  318600
training @ iter =  318700
training @ iter =  318800
training @ iter =  318900
training @ iter =  319000
training @ iter =  319100
training @ iter =  319200
training @ iter =  319300
training @ iter =  319400
training @ iter =  319500
training @ iter =  319600
training @ iter =  319700
training @ iter =  319800
training @ iter =  319900
training @ iter =  320000
training @ iter =  320100
training @ iter =  320200
training @ iter =  320300
training @ iter =  320400
training @ iter =  320500
training @ iter =  320600
training @ iter =  320700
training @ iter =  320800
training @ iter =  320900
training @ iter =  321000
training @ iter =  321100
training @ iter =  321200
training @ iter =  321300
training @ iter =  321400
training @ iter =  321500
training @ iter =  321600
training @ iter =  321700
training @ iter =  321800
training @ iter =  321900
epoch 92, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  322000
training @ iter =  322100
training @ iter =  322200
training @ iter =  322300
training @ iter =  322400
training @ iter =  322500
training @ iter =  322600
training @ iter =  322700
training @ iter =  322800
training @ iter =  322900
training @ iter =  323000
training @ iter =  323100
training @ iter =  323200
training @ iter =  323300
training @ iter =  323400
training @ iter =  323500
training @ iter =  323600
training @ iter =  323700
training @ iter =  323800
training @ iter =  323900
training @ iter =  324000
training @ iter =  324100
training @ iter =  324200
training @ iter =  324300
training @ iter =  324400
training @ iter =  324500
training @ iter =  324600
training @ iter =  324700
training @ iter =  324800
training @ iter =  324900
training @ iter =  325000
training @ iter =  325100
training @ iter =  325200
training @ iter =  325300
training @ iter =  325400
epoch 93, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  325500
training @ iter =  325600
training @ iter =  325700
training @ iter =  325800
training @ iter =  325900
training @ iter =  326000
training @ iter =  326100
training @ iter =  326200
training @ iter =  326300
training @ iter =  326400
training @ iter =  326500
training @ iter =  326600
training @ iter =  326700
training @ iter =  326800
training @ iter =  326900
training @ iter =  327000
training @ iter =  327100
training @ iter =  327200
training @ iter =  327300
training @ iter =  327400
training @ iter =  327500
training @ iter =  327600
training @ iter =  327700
training @ iter =  327800
training @ iter =  327900
training @ iter =  328000
training @ iter =  328100
training @ iter =  328200
training @ iter =  328300
training @ iter =  328400
training @ iter =  328500
training @ iter =  328600
training @ iter =  328700
training @ iter =  328800
training @ iter =  328900
epoch 94, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  329000
training @ iter =  329100
training @ iter =  329200
training @ iter =  329300
training @ iter =  329400
training @ iter =  329500
training @ iter =  329600
training @ iter =  329700
training @ iter =  329800
training @ iter =  329900
training @ iter =  330000
training @ iter =  330100
training @ iter =  330200
training @ iter =  330300
training @ iter =  330400
training @ iter =  330500
training @ iter =  330600
training @ iter =  330700
training @ iter =  330800
training @ iter =  330900
training @ iter =  331000
training @ iter =  331100
training @ iter =  331200
training @ iter =  331300
training @ iter =  331400
training @ iter =  331500
training @ iter =  331600
training @ iter =  331700
training @ iter =  331800
training @ iter =  331900
training @ iter =  332000
training @ iter =  332100
training @ iter =  332200
training @ iter =  332300
training @ iter =  332400
epoch 95, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  332500
training @ iter =  332600
training @ iter =  332700
training @ iter =  332800
training @ iter =  332900
training @ iter =  333000
training @ iter =  333100
training @ iter =  333200
training @ iter =  333300
training @ iter =  333400
training @ iter =  333500
training @ iter =  333600
training @ iter =  333700
training @ iter =  333800
training @ iter =  333900
training @ iter =  334000
training @ iter =  334100
training @ iter =  334200
training @ iter =  334300
training @ iter =  334400
training @ iter =  334500
training @ iter =  334600
training @ iter =  334700
training @ iter =  334800
training @ iter =  334900
training @ iter =  335000
training @ iter =  335100
training @ iter =  335200
training @ iter =  335300
training @ iter =  335400
training @ iter =  335500
training @ iter =  335600
training @ iter =  335700
training @ iter =  335800
training @ iter =  335900
epoch 96, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  336000
training @ iter =  336100
training @ iter =  336200
training @ iter =  336300
training @ iter =  336400
training @ iter =  336500
training @ iter =  336600
training @ iter =  336700
training @ iter =  336800
training @ iter =  336900
training @ iter =  337000
training @ iter =  337100
training @ iter =  337200
training @ iter =  337300
training @ iter =  337400
training @ iter =  337500
training @ iter =  337600
training @ iter =  337700
training @ iter =  337800
training @ iter =  337900
training @ iter =  338000
training @ iter =  338100
training @ iter =  338200
training @ iter =  338300
training @ iter =  338400
training @ iter =  338500
training @ iter =  338600
training @ iter =  338700
training @ iter =  338800
training @ iter =  338900
training @ iter =  339000
training @ iter =  339100
training @ iter =  339200
training @ iter =  339300
training @ iter =  339400
epoch 97, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  339500
training @ iter =  339600
training @ iter =  339700
training @ iter =  339800
training @ iter =  339900
training @ iter =  340000
training @ iter =  340100
training @ iter =  340200
training @ iter =  340300
training @ iter =  340400
training @ iter =  340500
training @ iter =  340600
training @ iter =  340700
training @ iter =  340800
training @ iter =  340900
training @ iter =  341000
training @ iter =  341100
training @ iter =  341200
training @ iter =  341300
training @ iter =  341400
training @ iter =  341500
training @ iter =  341600
training @ iter =  341700
training @ iter =  341800
training @ iter =  341900
training @ iter =  342000
training @ iter =  342100
training @ iter =  342200
training @ iter =  342300
training @ iter =  342400
training @ iter =  342500
training @ iter =  342600
training @ iter =  342700
training @ iter =  342800
training @ iter =  342900
epoch 98, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  343000
training @ iter =  343100
training @ iter =  343200
training @ iter =  343300
training @ iter =  343400
training @ iter =  343500
training @ iter =  343600
training @ iter =  343700
training @ iter =  343800
training @ iter =  343900
training @ iter =  344000
training @ iter =  344100
training @ iter =  344200
training @ iter =  344300
training @ iter =  344400
training @ iter =  344500
training @ iter =  344600
training @ iter =  344700
training @ iter =  344800
training @ iter =  344900
training @ iter =  345000
training @ iter =  345100
training @ iter =  345200
training @ iter =  345300
training @ iter =  345400
training @ iter =  345500
training @ iter =  345600
training @ iter =  345700
training @ iter =  345800
training @ iter =  345900
training @ iter =  346000
training @ iter =  346100
training @ iter =  346200
training @ iter =  346300
training @ iter =  346400
epoch 99, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  346500
training @ iter =  346600
training @ iter =  346700
training @ iter =  346800
training @ iter =  346900
training @ iter =  347000
training @ iter =  347100
training @ iter =  347200
training @ iter =  347300
training @ iter =  347400
training @ iter =  347500
training @ iter =  347600
training @ iter =  347700
training @ iter =  347800
training @ iter =  347900
training @ iter =  348000
training @ iter =  348100
training @ iter =  348200
training @ iter =  348300
training @ iter =  348400
training @ iter =  348500
training @ iter =  348600
training @ iter =  348700
training @ iter =  348800
training @ iter =  348900
training @ iter =  349000
training @ iter =  349100
training @ iter =  349200
training @ iter =  349300
training @ iter =  349400
training @ iter =  349500
training @ iter =  349600
training @ iter =  349700
training @ iter =  349800
training @ iter =  349900
epoch 100, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  350000
training @ iter =  350100
training @ iter =  350200
training @ iter =  350300
training @ iter =  350400
training @ iter =  350500
training @ iter =  350600
training @ iter =  350700
training @ iter =  350800
training @ iter =  350900
training @ iter =  351000
training @ iter =  351100
training @ iter =  351200
training @ iter =  351300
training @ iter =  351400
training @ iter =  351500
training @ iter =  351600
training @ iter =  351700
training @ iter =  351800
training @ iter =  351900
training @ iter =  352000
training @ iter =  352100
training @ iter =  352200
training @ iter =  352300
training @ iter =  352400
training @ iter =  352500
training @ iter =  352600
training @ iter =  352700
training @ iter =  352800
training @ iter =  352900
training @ iter =  353000
training @ iter =  353100
training @ iter =  353200
training @ iter =  353300
training @ iter =  353400
epoch 101, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  353500
training @ iter =  353600
training @ iter =  353700
training @ iter =  353800
training @ iter =  353900
training @ iter =  354000
training @ iter =  354100
training @ iter =  354200
training @ iter =  354300
training @ iter =  354400
training @ iter =  354500
training @ iter =  354600
training @ iter =  354700
training @ iter =  354800
training @ iter =  354900
training @ iter =  355000
training @ iter =  355100
training @ iter =  355200
training @ iter =  355300
training @ iter =  355400
training @ iter =  355500
training @ iter =  355600
training @ iter =  355700
training @ iter =  355800
training @ iter =  355900
training @ iter =  356000
training @ iter =  356100
training @ iter =  356200
training @ iter =  356300
training @ iter =  356400
training @ iter =  356500
training @ iter =  356600
training @ iter =  356700
training @ iter =  356800
training @ iter =  356900
epoch 102, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  357000
training @ iter =  357100
training @ iter =  357200
training @ iter =  357300
training @ iter =  357400
training @ iter =  357500
training @ iter =  357600
training @ iter =  357700
training @ iter =  357800
training @ iter =  357900
training @ iter =  358000
training @ iter =  358100
training @ iter =  358200
training @ iter =  358300
training @ iter =  358400
training @ iter =  358500
training @ iter =  358600
training @ iter =  358700
training @ iter =  358800
training @ iter =  358900
training @ iter =  359000
training @ iter =  359100
training @ iter =  359200
training @ iter =  359300
training @ iter =  359400
training @ iter =  359500
training @ iter =  359600
training @ iter =  359700
training @ iter =  359800
training @ iter =  359900
training @ iter =  360000
training @ iter =  360100
training @ iter =  360200
training @ iter =  360300
training @ iter =  360400
epoch 103, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  360500
training @ iter =  360600
training @ iter =  360700
training @ iter =  360800
training @ iter =  360900
training @ iter =  361000
training @ iter =  361100
training @ iter =  361200
training @ iter =  361300
training @ iter =  361400
training @ iter =  361500
training @ iter =  361600
training @ iter =  361700
training @ iter =  361800
training @ iter =  361900
training @ iter =  362000
training @ iter =  362100
training @ iter =  362200
training @ iter =  362300
training @ iter =  362400
training @ iter =  362500
training @ iter =  362600
training @ iter =  362700
training @ iter =  362800
training @ iter =  362900
training @ iter =  363000
training @ iter =  363100
training @ iter =  363200
training @ iter =  363300
training @ iter =  363400
training @ iter =  363500
training @ iter =  363600
training @ iter =  363700
training @ iter =  363800
training @ iter =  363900
epoch 104, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  364000
training @ iter =  364100
training @ iter =  364200
training @ iter =  364300
training @ iter =  364400
training @ iter =  364500
training @ iter =  364600
training @ iter =  364700
training @ iter =  364800
training @ iter =  364900
training @ iter =  365000
training @ iter =  365100
training @ iter =  365200
training @ iter =  365300
training @ iter =  365400
training @ iter =  365500
training @ iter =  365600
training @ iter =  365700
training @ iter =  365800
training @ iter =  365900
training @ iter =  366000
training @ iter =  366100
training @ iter =  366200
training @ iter =  366300
training @ iter =  366400
training @ iter =  366500
training @ iter =  366600
training @ iter =  366700
training @ iter =  366800
training @ iter =  366900
training @ iter =  367000
training @ iter =  367100
training @ iter =  367200
training @ iter =  367300
training @ iter =  367400
epoch 105, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  367500
training @ iter =  367600
training @ iter =  367700
training @ iter =  367800
training @ iter =  367900
training @ iter =  368000
training @ iter =  368100
training @ iter =  368200
training @ iter =  368300
training @ iter =  368400
training @ iter =  368500
training @ iter =  368600
training @ iter =  368700
training @ iter =  368800
training @ iter =  368900
training @ iter =  369000
training @ iter =  369100
training @ iter =  369200
training @ iter =  369300
training @ iter =  369400
training @ iter =  369500
training @ iter =  369600
training @ iter =  369700
training @ iter =  369800
training @ iter =  369900
training @ iter =  370000
training @ iter =  370100
training @ iter =  370200
training @ iter =  370300
training @ iter =  370400
training @ iter =  370500
training @ iter =  370600
training @ iter =  370700
training @ iter =  370800
training @ iter =  370900
epoch 106, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  371000
training @ iter =  371100
training @ iter =  371200
training @ iter =  371300
training @ iter =  371400
training @ iter =  371500
training @ iter =  371600
training @ iter =  371700
training @ iter =  371800
training @ iter =  371900
training @ iter =  372000
training @ iter =  372100
training @ iter =  372200
training @ iter =  372300
training @ iter =  372400
training @ iter =  372500
training @ iter =  372600
training @ iter =  372700
training @ iter =  372800
training @ iter =  372900
training @ iter =  373000
training @ iter =  373100
training @ iter =  373200
training @ iter =  373300
training @ iter =  373400
training @ iter =  373500
training @ iter =  373600
training @ iter =  373700
training @ iter =  373800
training @ iter =  373900
training @ iter =  374000
training @ iter =  374100
training @ iter =  374200
training @ iter =  374300
training @ iter =  374400
epoch 107, minibatch 3500/3500, validation error 0.630000 %
training @ iter =  374500
training @ iter =  374600
training @ iter =  374700
training @ iter =  374800
training @ iter =  374900
training @ iter =  375000
training @ iter =  375100
training @ iter =  375200
training @ iter =  375300
training @ iter =  375400
training @ iter =  375500
training @ iter =  375600
training @ iter =  375700
training @ iter =  375800
training @ iter =  375900
training @ iter =  376000
training @ iter =  376100
training @ iter =  376200
training @ iter =  376300
training @ iter =  376400
training @ iter =  376500
training @ iter =  376600
training @ iter =  376700
training @ iter =  376800
training @ iter =  376900
training @ iter =  377000
training @ iter =  377100
training @ iter =  377200
training @ iter =  377300
training @ iter =  377400
training @ iter =  377500
training @ iter =  377600
training @ iter =  377700
training @ iter =  377800
training @ iter =  377900
epoch 108, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  378000
training @ iter =  378100
training @ iter =  378200
training @ iter =  378300
training @ iter =  378400
training @ iter =  378500
training @ iter =  378600
training @ iter =  378700
training @ iter =  378800
training @ iter =  378900
training @ iter =  379000
training @ iter =  379100
training @ iter =  379200
training @ iter =  379300
training @ iter =  379400
training @ iter =  379500
training @ iter =  379600
training @ iter =  379700
training @ iter =  379800
training @ iter =  379900
training @ iter =  380000
training @ iter =  380100
training @ iter =  380200
training @ iter =  380300
training @ iter =  380400
training @ iter =  380500
training @ iter =  380600
training @ iter =  380700
training @ iter =  380800
training @ iter =  380900
training @ iter =  381000
training @ iter =  381100
training @ iter =  381200
training @ iter =  381300
training @ iter =  381400
epoch 109, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  381500
training @ iter =  381600
training @ iter =  381700
training @ iter =  381800
training @ iter =  381900
training @ iter =  382000
training @ iter =  382100
training @ iter =  382200
training @ iter =  382300
training @ iter =  382400
training @ iter =  382500
training @ iter =  382600
training @ iter =  382700
training @ iter =  382800
training @ iter =  382900
training @ iter =  383000
training @ iter =  383100
training @ iter =  383200
training @ iter =  383300
training @ iter =  383400
training @ iter =  383500
training @ iter =  383600
training @ iter =  383700
training @ iter =  383800
training @ iter =  383900
training @ iter =  384000
training @ iter =  384100
training @ iter =  384200
training @ iter =  384300
training @ iter =  384400
training @ iter =  384500
training @ iter =  384600
training @ iter =  384700
training @ iter =  384800
training @ iter =  384900
epoch 110, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  385000
training @ iter =  385100
training @ iter =  385200
training @ iter =  385300
training @ iter =  385400
training @ iter =  385500
training @ iter =  385600
training @ iter =  385700
training @ iter =  385800
training @ iter =  385900
training @ iter =  386000
training @ iter =  386100
training @ iter =  386200
training @ iter =  386300
training @ iter =  386400
training @ iter =  386500
training @ iter =  386600
training @ iter =  386700
training @ iter =  386800
training @ iter =  386900
training @ iter =  387000
training @ iter =  387100
training @ iter =  387200
training @ iter =  387300
training @ iter =  387400
training @ iter =  387500
training @ iter =  387600
training @ iter =  387700
training @ iter =  387800
training @ iter =  387900
training @ iter =  388000
training @ iter =  388100
training @ iter =  388200
training @ iter =  388300
training @ iter =  388400
epoch 111, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  388500
training @ iter =  388600
training @ iter =  388700
training @ iter =  388800
training @ iter =  388900
training @ iter =  389000
training @ iter =  389100
training @ iter =  389200
training @ iter =  389300
training @ iter =  389400
training @ iter =  389500
training @ iter =  389600
training @ iter =  389700
training @ iter =  389800
training @ iter =  389900
training @ iter =  390000
training @ iter =  390100
training @ iter =  390200
training @ iter =  390300
training @ iter =  390400
training @ iter =  390500
training @ iter =  390600
training @ iter =  390700
training @ iter =  390800
training @ iter =  390900
training @ iter =  391000
training @ iter =  391100
training @ iter =  391200
training @ iter =  391300
training @ iter =  391400
training @ iter =  391500
training @ iter =  391600
training @ iter =  391700
training @ iter =  391800
training @ iter =  391900
epoch 112, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  392000
training @ iter =  392100
training @ iter =  392200
training @ iter =  392300
training @ iter =  392400
training @ iter =  392500
training @ iter =  392600
training @ iter =  392700
training @ iter =  392800
training @ iter =  392900
training @ iter =  393000
training @ iter =  393100
training @ iter =  393200
training @ iter =  393300
training @ iter =  393400
training @ iter =  393500
training @ iter =  393600
training @ iter =  393700
training @ iter =  393800
training @ iter =  393900
training @ iter =  394000
training @ iter =  394100
training @ iter =  394200
training @ iter =  394300
training @ iter =  394400
training @ iter =  394500
training @ iter =  394600
training @ iter =  394700
training @ iter =  394800
training @ iter =  394900
training @ iter =  395000
training @ iter =  395100
training @ iter =  395200
training @ iter =  395300
training @ iter =  395400
epoch 113, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  395500
training @ iter =  395600
training @ iter =  395700
training @ iter =  395800
training @ iter =  395900
training @ iter =  396000
training @ iter =  396100
training @ iter =  396200
training @ iter =  396300
training @ iter =  396400
training @ iter =  396500
training @ iter =  396600
training @ iter =  396700
training @ iter =  396800
training @ iter =  396900
training @ iter =  397000
training @ iter =  397100
training @ iter =  397200
training @ iter =  397300
training @ iter =  397400
training @ iter =  397500
training @ iter =  397600
training @ iter =  397700
training @ iter =  397800
training @ iter =  397900
training @ iter =  398000
training @ iter =  398100
training @ iter =  398200
training @ iter =  398300
training @ iter =  398400
training @ iter =  398500
training @ iter =  398600
training @ iter =  398700
training @ iter =  398800
training @ iter =  398900
epoch 114, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  399000
training @ iter =  399100
training @ iter =  399200
training @ iter =  399300
training @ iter =  399400
training @ iter =  399500
training @ iter =  399600
training @ iter =  399700
training @ iter =  399800
training @ iter =  399900
training @ iter =  400000
training @ iter =  400100
training @ iter =  400200
training @ iter =  400300
training @ iter =  400400
training @ iter =  400500
training @ iter =  400600
training @ iter =  400700
training @ iter =  400800
training @ iter =  400900
training @ iter =  401000
training @ iter =  401100
training @ iter =  401200
training @ iter =  401300
training @ iter =  401400
training @ iter =  401500
training @ iter =  401600
training @ iter =  401700
training @ iter =  401800
training @ iter =  401900
training @ iter =  402000
training @ iter =  402100
training @ iter =  402200
training @ iter =  402300
training @ iter =  402400
epoch 115, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  402500
training @ iter =  402600
training @ iter =  402700
training @ iter =  402800
training @ iter =  402900
training @ iter =  403000
training @ iter =  403100
training @ iter =  403200
training @ iter =  403300
training @ iter =  403400
training @ iter =  403500
training @ iter =  403600
training @ iter =  403700
training @ iter =  403800
training @ iter =  403900
training @ iter =  404000
training @ iter =  404100
training @ iter =  404200
training @ iter =  404300
training @ iter =  404400
training @ iter =  404500
training @ iter =  404600
training @ iter =  404700
training @ iter =  404800
training @ iter =  404900
training @ iter =  405000
training @ iter =  405100
training @ iter =  405200
training @ iter =  405300
training @ iter =  405400
training @ iter =  405500
training @ iter =  405600
training @ iter =  405700
training @ iter =  405800
training @ iter =  405900
epoch 116, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  406000
training @ iter =  406100
training @ iter =  406200
training @ iter =  406300
training @ iter =  406400
training @ iter =  406500
training @ iter =  406600
training @ iter =  406700
training @ iter =  406800
training @ iter =  406900
training @ iter =  407000
training @ iter =  407100
training @ iter =  407200
training @ iter =  407300
training @ iter =  407400
training @ iter =  407500
training @ iter =  407600
training @ iter =  407700
training @ iter =  407800
training @ iter =  407900
training @ iter =  408000
training @ iter =  408100
training @ iter =  408200
training @ iter =  408300
training @ iter =  408400
training @ iter =  408500
training @ iter =  408600
training @ iter =  408700
training @ iter =  408800
training @ iter =  408900
training @ iter =  409000
training @ iter =  409100
training @ iter =  409200
training @ iter =  409300
training @ iter =  409400
epoch 117, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  409500
training @ iter =  409600
training @ iter =  409700
training @ iter =  409800
training @ iter =  409900
training @ iter =  410000
training @ iter =  410100
training @ iter =  410200
training @ iter =  410300
training @ iter =  410400
training @ iter =  410500
training @ iter =  410600
training @ iter =  410700
training @ iter =  410800
training @ iter =  410900
training @ iter =  411000
training @ iter =  411100
training @ iter =  411200
training @ iter =  411300
training @ iter =  411400
training @ iter =  411500
training @ iter =  411600
training @ iter =  411700
training @ iter =  411800
training @ iter =  411900
training @ iter =  412000
training @ iter =  412100
training @ iter =  412200
training @ iter =  412300
training @ iter =  412400
training @ iter =  412500
training @ iter =  412600
training @ iter =  412700
training @ iter =  412800
training @ iter =  412900
epoch 118, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  413000
training @ iter =  413100
training @ iter =  413200
training @ iter =  413300
training @ iter =  413400
training @ iter =  413500
training @ iter =  413600
training @ iter =  413700
training @ iter =  413800
training @ iter =  413900
training @ iter =  414000
training @ iter =  414100
training @ iter =  414200
training @ iter =  414300
training @ iter =  414400
training @ iter =  414500
training @ iter =  414600
training @ iter =  414700
training @ iter =  414800
training @ iter =  414900
training @ iter =  415000
training @ iter =  415100
training @ iter =  415200
training @ iter =  415300
training @ iter =  415400
training @ iter =  415500
training @ iter =  415600
training @ iter =  415700
training @ iter =  415800
training @ iter =  415900
training @ iter =  416000
training @ iter =  416100
training @ iter =  416200
training @ iter =  416300
training @ iter =  416400
epoch 119, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  416500
training @ iter =  416600
training @ iter =  416700
training @ iter =  416800
training @ iter =  416900
training @ iter =  417000
training @ iter =  417100
training @ iter =  417200
training @ iter =  417300
training @ iter =  417400
training @ iter =  417500
training @ iter =  417600
training @ iter =  417700
training @ iter =  417800
training @ iter =  417900
training @ iter =  418000
training @ iter =  418100
training @ iter =  418200
training @ iter =  418300
training @ iter =  418400
training @ iter =  418500
training @ iter =  418600
training @ iter =  418700
training @ iter =  418800
training @ iter =  418900
training @ iter =  419000
training @ iter =  419100
training @ iter =  419200
training @ iter =  419300
training @ iter =  419400
training @ iter =  419500
training @ iter =  419600
training @ iter =  419700
training @ iter =  419800
training @ iter =  419900
epoch 120, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  420000
training @ iter =  420100
training @ iter =  420200
training @ iter =  420300
training @ iter =  420400
training @ iter =  420500
training @ iter =  420600
training @ iter =  420700
training @ iter =  420800
training @ iter =  420900
training @ iter =  421000
training @ iter =  421100
training @ iter =  421200
training @ iter =  421300
training @ iter =  421400
training @ iter =  421500
training @ iter =  421600
training @ iter =  421700
training @ iter =  421800
training @ iter =  421900
training @ iter =  422000
training @ iter =  422100
training @ iter =  422200
training @ iter =  422300
training @ iter =  422400
training @ iter =  422500
training @ iter =  422600
training @ iter =  422700
training @ iter =  422800
training @ iter =  422900
training @ iter =  423000
training @ iter =  423100
training @ iter =  423200
training @ iter =  423300
training @ iter =  423400
epoch 121, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  423500
training @ iter =  423600
training @ iter =  423700
training @ iter =  423800
training @ iter =  423900
training @ iter =  424000
training @ iter =  424100
training @ iter =  424200
training @ iter =  424300
training @ iter =  424400
training @ iter =  424500
training @ iter =  424600
training @ iter =  424700
training @ iter =  424800
training @ iter =  424900
training @ iter =  425000
training @ iter =  425100
training @ iter =  425200
training @ iter =  425300
training @ iter =  425400
training @ iter =  425500
training @ iter =  425600
training @ iter =  425700
training @ iter =  425800
training @ iter =  425900
training @ iter =  426000
training @ iter =  426100
training @ iter =  426200
training @ iter =  426300
training @ iter =  426400
training @ iter =  426500
training @ iter =  426600
training @ iter =  426700
training @ iter =  426800
training @ iter =  426900
epoch 122, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  427000
training @ iter =  427100
training @ iter =  427200
training @ iter =  427300
training @ iter =  427400
training @ iter =  427500
training @ iter =  427600
training @ iter =  427700
training @ iter =  427800
training @ iter =  427900
training @ iter =  428000
training @ iter =  428100
training @ iter =  428200
training @ iter =  428300
training @ iter =  428400
training @ iter =  428500
training @ iter =  428600
training @ iter =  428700
training @ iter =  428800
training @ iter =  428900
training @ iter =  429000
training @ iter =  429100
training @ iter =  429200
training @ iter =  429300
training @ iter =  429400
training @ iter =  429500
training @ iter =  429600
training @ iter =  429700
training @ iter =  429800
training @ iter =  429900
training @ iter =  430000
training @ iter =  430100
training @ iter =  430200
training @ iter =  430300
training @ iter =  430400
epoch 123, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  430500
training @ iter =  430600
training @ iter =  430700
training @ iter =  430800
training @ iter =  430900
training @ iter =  431000
training @ iter =  431100
training @ iter =  431200
training @ iter =  431300
training @ iter =  431400
training @ iter =  431500
training @ iter =  431600
training @ iter =  431700
training @ iter =  431800
training @ iter =  431900
training @ iter =  432000
training @ iter =  432100
training @ iter =  432200
training @ iter =  432300
training @ iter =  432400
training @ iter =  432500
training @ iter =  432600
training @ iter =  432700
training @ iter =  432800
training @ iter =  432900
training @ iter =  433000
training @ iter =  433100
training @ iter =  433200
training @ iter =  433300
training @ iter =  433400
training @ iter =  433500
training @ iter =  433600
training @ iter =  433700
training @ iter =  433800
training @ iter =  433900
epoch 124, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  434000
training @ iter =  434100
training @ iter =  434200
training @ iter =  434300
training @ iter =  434400
training @ iter =  434500
training @ iter =  434600
training @ iter =  434700
training @ iter =  434800
training @ iter =  434900
training @ iter =  435000
training @ iter =  435100
training @ iter =  435200
training @ iter =  435300
training @ iter =  435400
training @ iter =  435500
training @ iter =  435600
training @ iter =  435700
training @ iter =  435800
training @ iter =  435900
training @ iter =  436000
training @ iter =  436100
training @ iter =  436200
training @ iter =  436300
training @ iter =  436400
training @ iter =  436500
training @ iter =  436600
training @ iter =  436700
training @ iter =  436800
training @ iter =  436900
training @ iter =  437000
training @ iter =  437100
training @ iter =  437200
training @ iter =  437300
training @ iter =  437400
epoch 125, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  437500
training @ iter =  437600
training @ iter =  437700
training @ iter =  437800
training @ iter =  437900
training @ iter =  438000
training @ iter =  438100
training @ iter =  438200
training @ iter =  438300
training @ iter =  438400
training @ iter =  438500
training @ iter =  438600
training @ iter =  438700
training @ iter =  438800
training @ iter =  438900
training @ iter =  439000
training @ iter =  439100
training @ iter =  439200
training @ iter =  439300
training @ iter =  439400
training @ iter =  439500
training @ iter =  439600
training @ iter =  439700
training @ iter =  439800
training @ iter =  439900
training @ iter =  440000
training @ iter =  440100
training @ iter =  440200
training @ iter =  440300
training @ iter =  440400
training @ iter =  440500
training @ iter =  440600
training @ iter =  440700
training @ iter =  440800
training @ iter =  440900
epoch 126, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  441000
training @ iter =  441100
training @ iter =  441200
training @ iter =  441300
training @ iter =  441400
training @ iter =  441500
training @ iter =  441600
training @ iter =  441700
training @ iter =  441800
training @ iter =  441900
training @ iter =  442000
training @ iter =  442100
training @ iter =  442200
training @ iter =  442300
training @ iter =  442400
training @ iter =  442500
training @ iter =  442600
training @ iter =  442700
training @ iter =  442800
training @ iter =  442900
training @ iter =  443000
training @ iter =  443100
training @ iter =  443200
training @ iter =  443300
training @ iter =  443400
training @ iter =  443500
training @ iter =  443600
training @ iter =  443700
training @ iter =  443800
training @ iter =  443900
training @ iter =  444000
training @ iter =  444100
training @ iter =  444200
training @ iter =  444300
training @ iter =  444400
epoch 127, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  444500
training @ iter =  444600
training @ iter =  444700
training @ iter =  444800
training @ iter =  444900
training @ iter =  445000
training @ iter =  445100
training @ iter =  445200
training @ iter =  445300
training @ iter =  445400
training @ iter =  445500
training @ iter =  445600
training @ iter =  445700
training @ iter =  445800
training @ iter =  445900
training @ iter =  446000
training @ iter =  446100
training @ iter =  446200
training @ iter =  446300
training @ iter =  446400
training @ iter =  446500
training @ iter =  446600
training @ iter =  446700
training @ iter =  446800
training @ iter =  446900
training @ iter =  447000
training @ iter =  447100
training @ iter =  447200
training @ iter =  447300
training @ iter =  447400
training @ iter =  447500
training @ iter =  447600
training @ iter =  447700
training @ iter =  447800
training @ iter =  447900
epoch 128, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  448000
training @ iter =  448100
training @ iter =  448200
training @ iter =  448300
training @ iter =  448400
training @ iter =  448500
training @ iter =  448600
training @ iter =  448700
training @ iter =  448800
training @ iter =  448900
training @ iter =  449000
training @ iter =  449100
training @ iter =  449200
training @ iter =  449300
training @ iter =  449400
training @ iter =  449500
training @ iter =  449600
training @ iter =  449700
training @ iter =  449800
training @ iter =  449900
training @ iter =  450000
training @ iter =  450100
training @ iter =  450200
training @ iter =  450300
training @ iter =  450400
training @ iter =  450500
training @ iter =  450600
training @ iter =  450700
training @ iter =  450800
training @ iter =  450900
training @ iter =  451000
training @ iter =  451100
training @ iter =  451200
training @ iter =  451300
training @ iter =  451400
epoch 129, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  451500
training @ iter =  451600
training @ iter =  451700
training @ iter =  451800
training @ iter =  451900
training @ iter =  452000
training @ iter =  452100
training @ iter =  452200
training @ iter =  452300
training @ iter =  452400
training @ iter =  452500
training @ iter =  452600
training @ iter =  452700
training @ iter =  452800
training @ iter =  452900
training @ iter =  453000
training @ iter =  453100
training @ iter =  453200
training @ iter =  453300
training @ iter =  453400
training @ iter =  453500
training @ iter =  453600
training @ iter =  453700
training @ iter =  453800
training @ iter =  453900
training @ iter =  454000
training @ iter =  454100
training @ iter =  454200
training @ iter =  454300
training @ iter =  454400
training @ iter =  454500
training @ iter =  454600
training @ iter =  454700
training @ iter =  454800
training @ iter =  454900
epoch 130, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  455000
training @ iter =  455100
training @ iter =  455200
training @ iter =  455300
training @ iter =  455400
training @ iter =  455500
training @ iter =  455600
training @ iter =  455700
training @ iter =  455800
training @ iter =  455900
training @ iter =  456000
training @ iter =  456100
training @ iter =  456200
training @ iter =  456300
training @ iter =  456400
training @ iter =  456500
training @ iter =  456600
training @ iter =  456700
training @ iter =  456800
training @ iter =  456900
training @ iter =  457000
training @ iter =  457100
training @ iter =  457200
training @ iter =  457300
training @ iter =  457400
training @ iter =  457500
training @ iter =  457600
training @ iter =  457700
training @ iter =  457800
training @ iter =  457900
training @ iter =  458000
training @ iter =  458100
training @ iter =  458200
training @ iter =  458300
training @ iter =  458400
epoch 131, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  458500
training @ iter =  458600
training @ iter =  458700
training @ iter =  458800
training @ iter =  458900
training @ iter =  459000
training @ iter =  459100
training @ iter =  459200
training @ iter =  459300
training @ iter =  459400
training @ iter =  459500
training @ iter =  459600
training @ iter =  459700
training @ iter =  459800
training @ iter =  459900
training @ iter =  460000
training @ iter =  460100
training @ iter =  460200
training @ iter =  460300
training @ iter =  460400
training @ iter =  460500
training @ iter =  460600
training @ iter =  460700
training @ iter =  460800
training @ iter =  460900
training @ iter =  461000
training @ iter =  461100
training @ iter =  461200
training @ iter =  461300
training @ iter =  461400
training @ iter =  461500
training @ iter =  461600
training @ iter =  461700
training @ iter =  461800
training @ iter =  461900
epoch 132, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  462000
training @ iter =  462100
training @ iter =  462200
training @ iter =  462300
training @ iter =  462400
training @ iter =  462500
training @ iter =  462600
training @ iter =  462700
training @ iter =  462800
training @ iter =  462900
training @ iter =  463000
training @ iter =  463100
training @ iter =  463200
training @ iter =  463300
training @ iter =  463400
training @ iter =  463500
training @ iter =  463600
training @ iter =  463700
training @ iter =  463800
training @ iter =  463900
training @ iter =  464000
training @ iter =  464100
training @ iter =  464200
training @ iter =  464300
training @ iter =  464400
training @ iter =  464500
training @ iter =  464600
training @ iter =  464700
training @ iter =  464800
training @ iter =  464900
training @ iter =  465000
training @ iter =  465100
training @ iter =  465200
training @ iter =  465300
training @ iter =  465400
epoch 133, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  465500
training @ iter =  465600
training @ iter =  465700
training @ iter =  465800
training @ iter =  465900
training @ iter =  466000
training @ iter =  466100
training @ iter =  466200
training @ iter =  466300
training @ iter =  466400
training @ iter =  466500
training @ iter =  466600
training @ iter =  466700
training @ iter =  466800
training @ iter =  466900
training @ iter =  467000
training @ iter =  467100
training @ iter =  467200
training @ iter =  467300
training @ iter =  467400
training @ iter =  467500
training @ iter =  467600
training @ iter =  467700
training @ iter =  467800
training @ iter =  467900
training @ iter =  468000
training @ iter =  468100
training @ iter =  468200
training @ iter =  468300
training @ iter =  468400
training @ iter =  468500
training @ iter =  468600
training @ iter =  468700
training @ iter =  468800
training @ iter =  468900
epoch 134, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  469000
training @ iter =  469100
training @ iter =  469200
training @ iter =  469300
training @ iter =  469400
training @ iter =  469500
training @ iter =  469600
training @ iter =  469700
training @ iter =  469800
training @ iter =  469900
training @ iter =  470000
training @ iter =  470100
training @ iter =  470200
training @ iter =  470300
training @ iter =  470400
training @ iter =  470500
training @ iter =  470600
training @ iter =  470700
training @ iter =  470800
training @ iter =  470900
training @ iter =  471000
training @ iter =  471100
training @ iter =  471200
training @ iter =  471300
training @ iter =  471400
training @ iter =  471500
training @ iter =  471600
training @ iter =  471700
training @ iter =  471800
training @ iter =  471900
training @ iter =  472000
training @ iter =  472100
training @ iter =  472200
training @ iter =  472300
training @ iter =  472400
epoch 135, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  472500
training @ iter =  472600
training @ iter =  472700
training @ iter =  472800
training @ iter =  472900
training @ iter =  473000
training @ iter =  473100
training @ iter =  473200
training @ iter =  473300
training @ iter =  473400
training @ iter =  473500
training @ iter =  473600
training @ iter =  473700
training @ iter =  473800
training @ iter =  473900
training @ iter =  474000
training @ iter =  474100
training @ iter =  474200
training @ iter =  474300
training @ iter =  474400
training @ iter =  474500
training @ iter =  474600
training @ iter =  474700
training @ iter =  474800
training @ iter =  474900
training @ iter =  475000
training @ iter =  475100
training @ iter =  475200
training @ iter =  475300
training @ iter =  475400
training @ iter =  475500
training @ iter =  475600
training @ iter =  475700
training @ iter =  475800
training @ iter =  475900
epoch 136, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  476000
training @ iter =  476100
training @ iter =  476200
training @ iter =  476300
training @ iter =  476400
training @ iter =  476500
training @ iter =  476600
training @ iter =  476700
training @ iter =  476800
training @ iter =  476900
training @ iter =  477000
training @ iter =  477100
training @ iter =  477200
training @ iter =  477300
training @ iter =  477400
training @ iter =  477500
training @ iter =  477600
training @ iter =  477700
training @ iter =  477800
training @ iter =  477900
training @ iter =  478000
training @ iter =  478100
training @ iter =  478200
training @ iter =  478300
training @ iter =  478400
training @ iter =  478500
training @ iter =  478600
training @ iter =  478700
training @ iter =  478800
training @ iter =  478900
training @ iter =  479000
training @ iter =  479100
training @ iter =  479200
training @ iter =  479300
training @ iter =  479400
epoch 137, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  479500
training @ iter =  479600
training @ iter =  479700
training @ iter =  479800
training @ iter =  479900
training @ iter =  480000
training @ iter =  480100
training @ iter =  480200
training @ iter =  480300
training @ iter =  480400
training @ iter =  480500
training @ iter =  480600
training @ iter =  480700
training @ iter =  480800
training @ iter =  480900
training @ iter =  481000
training @ iter =  481100
training @ iter =  481200
training @ iter =  481300
training @ iter =  481400
training @ iter =  481500
training @ iter =  481600
training @ iter =  481700
training @ iter =  481800
training @ iter =  481900
training @ iter =  482000
training @ iter =  482100
training @ iter =  482200
training @ iter =  482300
training @ iter =  482400
training @ iter =  482500
training @ iter =  482600
training @ iter =  482700
training @ iter =  482800
training @ iter =  482900
epoch 138, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  483000
training @ iter =  483100
training @ iter =  483200
training @ iter =  483300
training @ iter =  483400
training @ iter =  483500
training @ iter =  483600
training @ iter =  483700
training @ iter =  483800
training @ iter =  483900
training @ iter =  484000
training @ iter =  484100
training @ iter =  484200
training @ iter =  484300
training @ iter =  484400
training @ iter =  484500
training @ iter =  484600
training @ iter =  484700
training @ iter =  484800
training @ iter =  484900
training @ iter =  485000
training @ iter =  485100
training @ iter =  485200
training @ iter =  485300
training @ iter =  485400
training @ iter =  485500
training @ iter =  485600
training @ iter =  485700
training @ iter =  485800
training @ iter =  485900
training @ iter =  486000
training @ iter =  486100
training @ iter =  486200
training @ iter =  486300
training @ iter =  486400
epoch 139, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  486500
training @ iter =  486600
training @ iter =  486700
training @ iter =  486800
training @ iter =  486900
training @ iter =  487000
training @ iter =  487100
training @ iter =  487200
training @ iter =  487300
training @ iter =  487400
training @ iter =  487500
training @ iter =  487600
training @ iter =  487700
training @ iter =  487800
training @ iter =  487900
training @ iter =  488000
training @ iter =  488100
training @ iter =  488200
training @ iter =  488300
training @ iter =  488400
training @ iter =  488500
training @ iter =  488600
training @ iter =  488700
training @ iter =  488800
training @ iter =  488900
training @ iter =  489000
training @ iter =  489100
training @ iter =  489200
training @ iter =  489300
training @ iter =  489400
training @ iter =  489500
training @ iter =  489600
training @ iter =  489700
training @ iter =  489800
training @ iter =  489900
epoch 140, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  490000
training @ iter =  490100
training @ iter =  490200
training @ iter =  490300
training @ iter =  490400
training @ iter =  490500
training @ iter =  490600
training @ iter =  490700
training @ iter =  490800
training @ iter =  490900
training @ iter =  491000
training @ iter =  491100
training @ iter =  491200
training @ iter =  491300
training @ iter =  491400
training @ iter =  491500
training @ iter =  491600
training @ iter =  491700
training @ iter =  491800
training @ iter =  491900
training @ iter =  492000
training @ iter =  492100
training @ iter =  492200
training @ iter =  492300
training @ iter =  492400
training @ iter =  492500
training @ iter =  492600
training @ iter =  492700
training @ iter =  492800
training @ iter =  492900
training @ iter =  493000
training @ iter =  493100
training @ iter =  493200
training @ iter =  493300
training @ iter =  493400
epoch 141, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  493500
training @ iter =  493600
training @ iter =  493700
training @ iter =  493800
training @ iter =  493900
training @ iter =  494000
training @ iter =  494100
training @ iter =  494200
training @ iter =  494300
training @ iter =  494400
training @ iter =  494500
training @ iter =  494600
training @ iter =  494700
training @ iter =  494800
training @ iter =  494900
training @ iter =  495000
training @ iter =  495100
training @ iter =  495200
training @ iter =  495300
training @ iter =  495400
training @ iter =  495500
training @ iter =  495600
training @ iter =  495700
training @ iter =  495800
training @ iter =  495900
training @ iter =  496000
training @ iter =  496100
training @ iter =  496200
training @ iter =  496300
training @ iter =  496400
training @ iter =  496500
training @ iter =  496600
training @ iter =  496700
training @ iter =  496800
training @ iter =  496900
epoch 142, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  497000
training @ iter =  497100
training @ iter =  497200
training @ iter =  497300
training @ iter =  497400
training @ iter =  497500
training @ iter =  497600
training @ iter =  497700
training @ iter =  497800
training @ iter =  497900
training @ iter =  498000
training @ iter =  498100
training @ iter =  498200
training @ iter =  498300
training @ iter =  498400
training @ iter =  498500
training @ iter =  498600
training @ iter =  498700
training @ iter =  498800
training @ iter =  498900
training @ iter =  499000
training @ iter =  499100
training @ iter =  499200
training @ iter =  499300
training @ iter =  499400
training @ iter =  499500
training @ iter =  499600
training @ iter =  499700
training @ iter =  499800
training @ iter =  499900
training @ iter =  500000
training @ iter =  500100
training @ iter =  500200
training @ iter =  500300
training @ iter =  500400
epoch 143, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  500500
training @ iter =  500600
training @ iter =  500700
training @ iter =  500800
training @ iter =  500900
training @ iter =  501000
training @ iter =  501100
training @ iter =  501200
training @ iter =  501300
training @ iter =  501400
training @ iter =  501500
training @ iter =  501600
training @ iter =  501700
training @ iter =  501800
training @ iter =  501900
training @ iter =  502000
training @ iter =  502100
training @ iter =  502200
training @ iter =  502300
training @ iter =  502400
training @ iter =  502500
training @ iter =  502600
training @ iter =  502700
training @ iter =  502800
training @ iter =  502900
training @ iter =  503000
training @ iter =  503100
training @ iter =  503200
training @ iter =  503300
training @ iter =  503400
training @ iter =  503500
training @ iter =  503600
training @ iter =  503700
training @ iter =  503800
training @ iter =  503900
epoch 144, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  504000
training @ iter =  504100
training @ iter =  504200
training @ iter =  504300
training @ iter =  504400
training @ iter =  504500
training @ iter =  504600
training @ iter =  504700
training @ iter =  504800
training @ iter =  504900
training @ iter =  505000
training @ iter =  505100
training @ iter =  505200
training @ iter =  505300
training @ iter =  505400
training @ iter =  505500
training @ iter =  505600
training @ iter =  505700
training @ iter =  505800
training @ iter =  505900
training @ iter =  506000
training @ iter =  506100
training @ iter =  506200
training @ iter =  506300
training @ iter =  506400
training @ iter =  506500
training @ iter =  506600
training @ iter =  506700
training @ iter =  506800
training @ iter =  506900
training @ iter =  507000
training @ iter =  507100
training @ iter =  507200
training @ iter =  507300
training @ iter =  507400
epoch 145, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  507500
training @ iter =  507600
training @ iter =  507700
training @ iter =  507800
training @ iter =  507900
training @ iter =  508000
training @ iter =  508100
training @ iter =  508200
training @ iter =  508300
training @ iter =  508400
training @ iter =  508500
training @ iter =  508600
training @ iter =  508700
training @ iter =  508800
training @ iter =  508900
training @ iter =  509000
training @ iter =  509100
training @ iter =  509200
training @ iter =  509300
training @ iter =  509400
training @ iter =  509500
training @ iter =  509600
training @ iter =  509700
training @ iter =  509800
training @ iter =  509900
training @ iter =  510000
training @ iter =  510100
training @ iter =  510200
training @ iter =  510300
training @ iter =  510400
training @ iter =  510500
training @ iter =  510600
training @ iter =  510700
training @ iter =  510800
training @ iter =  510900
epoch 146, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  511000
training @ iter =  511100
training @ iter =  511200
training @ iter =  511300
training @ iter =  511400
training @ iter =  511500
training @ iter =  511600
training @ iter =  511700
training @ iter =  511800
training @ iter =  511900
training @ iter =  512000
training @ iter =  512100
training @ iter =  512200
training @ iter =  512300
training @ iter =  512400
training @ iter =  512500
training @ iter =  512600
training @ iter =  512700
training @ iter =  512800
training @ iter =  512900
training @ iter =  513000
training @ iter =  513100
training @ iter =  513200
training @ iter =  513300
training @ iter =  513400
training @ iter =  513500
training @ iter =  513600
training @ iter =  513700
training @ iter =  513800
training @ iter =  513900
training @ iter =  514000
training @ iter =  514100
training @ iter =  514200
training @ iter =  514300
training @ iter =  514400
epoch 147, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  514500
training @ iter =  514600
training @ iter =  514700
training @ iter =  514800
training @ iter =  514900
training @ iter =  515000
training @ iter =  515100
training @ iter =  515200
training @ iter =  515300
training @ iter =  515400
training @ iter =  515500
training @ iter =  515600
training @ iter =  515700
training @ iter =  515800
training @ iter =  515900
training @ iter =  516000
training @ iter =  516100
training @ iter =  516200
training @ iter =  516300
training @ iter =  516400
training @ iter =  516500
training @ iter =  516600
training @ iter =  516700
training @ iter =  516800
training @ iter =  516900
training @ iter =  517000
training @ iter =  517100
training @ iter =  517200
training @ iter =  517300
training @ iter =  517400
training @ iter =  517500
training @ iter =  517600
training @ iter =  517700
training @ iter =  517800
training @ iter =  517900
epoch 148, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  518000
training @ iter =  518100
training @ iter =  518200
training @ iter =  518300
training @ iter =  518400
training @ iter =  518500
training @ iter =  518600
training @ iter =  518700
training @ iter =  518800
training @ iter =  518900
training @ iter =  519000
training @ iter =  519100
training @ iter =  519200
training @ iter =  519300
training @ iter =  519400
training @ iter =  519500
training @ iter =  519600
training @ iter =  519700
training @ iter =  519800
training @ iter =  519900
training @ iter =  520000
training @ iter =  520100
training @ iter =  520200
training @ iter =  520300
training @ iter =  520400
training @ iter =  520500
training @ iter =  520600
training @ iter =  520700
training @ iter =  520800
training @ iter =  520900
training @ iter =  521000
training @ iter =  521100
training @ iter =  521200
training @ iter =  521300
training @ iter =  521400
epoch 149, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  521500
training @ iter =  521600
training @ iter =  521700
training @ iter =  521800
training @ iter =  521900
training @ iter =  522000
training @ iter =  522100
training @ iter =  522200
training @ iter =  522300
training @ iter =  522400
training @ iter =  522500
training @ iter =  522600
training @ iter =  522700
training @ iter =  522800
training @ iter =  522900
training @ iter =  523000
training @ iter =  523100
training @ iter =  523200
training @ iter =  523300
training @ iter =  523400
training @ iter =  523500
training @ iter =  523600
training @ iter =  523700
training @ iter =  523800
training @ iter =  523900
training @ iter =  524000
training @ iter =  524100
training @ iter =  524200
training @ iter =  524300
training @ iter =  524400
training @ iter =  524500
training @ iter =  524600
training @ iter =  524700
training @ iter =  524800
training @ iter =  524900
epoch 150, minibatch 3500/3500, validation error 0.600000 %
     epoch 150, minibatch 3500/3500, test error of best model 0.600000 %
training @ iter =  525000
training @ iter =  525100
training @ iter =  525200
training @ iter =  525300
training @ iter =  525400
training @ iter =  525500
training @ iter =  525600
training @ iter =  525700
training @ iter =  525800
training @ iter =  525900
training @ iter =  526000
training @ iter =  526100
training @ iter =  526200
training @ iter =  526300
training @ iter =  526400
training @ iter =  526500
training @ iter =  526600
training @ iter =  526700
training @ iter =  526800
training @ iter =  526900
training @ iter =  527000
training @ iter =  527100
training @ iter =  527200
training @ iter =  527300
training @ iter =  527400
training @ iter =  527500
training @ iter =  527600
training @ iter =  527700
training @ iter =  527800
training @ iter =  527900
training @ iter =  528000
training @ iter =  528100
training @ iter =  528200
training @ iter =  528300
training @ iter =  528400
epoch 151, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  528500
training @ iter =  528600
training @ iter =  528700
training @ iter =  528800
training @ iter =  528900
training @ iter =  529000
training @ iter =  529100
training @ iter =  529200
training @ iter =  529300
training @ iter =  529400
training @ iter =  529500
training @ iter =  529600
training @ iter =  529700
training @ iter =  529800
training @ iter =  529900
training @ iter =  530000
training @ iter =  530100
training @ iter =  530200
training @ iter =  530300
training @ iter =  530400
training @ iter =  530500
training @ iter =  530600
training @ iter =  530700
training @ iter =  530800
training @ iter =  530900
training @ iter =  531000
training @ iter =  531100
training @ iter =  531200
training @ iter =  531300
training @ iter =  531400
training @ iter =  531500
training @ iter =  531600
training @ iter =  531700
training @ iter =  531800
training @ iter =  531900
epoch 152, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  532000
training @ iter =  532100
training @ iter =  532200
training @ iter =  532300
training @ iter =  532400
training @ iter =  532500
training @ iter =  532600
training @ iter =  532700
training @ iter =  532800
training @ iter =  532900
training @ iter =  533000
training @ iter =  533100
training @ iter =  533200
training @ iter =  533300
training @ iter =  533400
training @ iter =  533500
training @ iter =  533600
training @ iter =  533700
training @ iter =  533800
training @ iter =  533900
training @ iter =  534000
training @ iter =  534100
training @ iter =  534200
training @ iter =  534300
training @ iter =  534400
training @ iter =  534500
training @ iter =  534600
training @ iter =  534700
training @ iter =  534800
training @ iter =  534900
training @ iter =  535000
training @ iter =  535100
training @ iter =  535200
training @ iter =  535300
training @ iter =  535400
epoch 153, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  535500
training @ iter =  535600
training @ iter =  535700
training @ iter =  535800
training @ iter =  535900
training @ iter =  536000
training @ iter =  536100
training @ iter =  536200
training @ iter =  536300
training @ iter =  536400
training @ iter =  536500
training @ iter =  536600
training @ iter =  536700
training @ iter =  536800
training @ iter =  536900
training @ iter =  537000
training @ iter =  537100
training @ iter =  537200
training @ iter =  537300
training @ iter =  537400
training @ iter =  537500
training @ iter =  537600
training @ iter =  537700
training @ iter =  537800
training @ iter =  537900
training @ iter =  538000
training @ iter =  538100
training @ iter =  538200
training @ iter =  538300
training @ iter =  538400
training @ iter =  538500
training @ iter =  538600
training @ iter =  538700
training @ iter =  538800
training @ iter =  538900
epoch 154, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  539000
training @ iter =  539100
training @ iter =  539200
training @ iter =  539300
training @ iter =  539400
training @ iter =  539500
training @ iter =  539600
training @ iter =  539700
training @ iter =  539800
training @ iter =  539900
training @ iter =  540000
training @ iter =  540100
training @ iter =  540200
training @ iter =  540300
training @ iter =  540400
training @ iter =  540500
training @ iter =  540600
training @ iter =  540700
training @ iter =  540800
training @ iter =  540900
training @ iter =  541000
training @ iter =  541100
training @ iter =  541200
training @ iter =  541300
training @ iter =  541400
training @ iter =  541500
training @ iter =  541600
training @ iter =  541700
training @ iter =  541800
training @ iter =  541900
training @ iter =  542000
training @ iter =  542100
training @ iter =  542200
training @ iter =  542300
training @ iter =  542400
epoch 155, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  542500
training @ iter =  542600
training @ iter =  542700
training @ iter =  542800
training @ iter =  542900
training @ iter =  543000
training @ iter =  543100
training @ iter =  543200
training @ iter =  543300
training @ iter =  543400
training @ iter =  543500
training @ iter =  543600
training @ iter =  543700
training @ iter =  543800
training @ iter =  543900
training @ iter =  544000
training @ iter =  544100
training @ iter =  544200
training @ iter =  544300
training @ iter =  544400
training @ iter =  544500
training @ iter =  544600
training @ iter =  544700
training @ iter =  544800
training @ iter =  544900
training @ iter =  545000
training @ iter =  545100
training @ iter =  545200
training @ iter =  545300
training @ iter =  545400
training @ iter =  545500
training @ iter =  545600
training @ iter =  545700
training @ iter =  545800
training @ iter =  545900
epoch 156, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  546000
training @ iter =  546100
training @ iter =  546200
training @ iter =  546300
training @ iter =  546400
training @ iter =  546500
training @ iter =  546600
training @ iter =  546700
training @ iter =  546800
training @ iter =  546900
training @ iter =  547000
training @ iter =  547100
training @ iter =  547200
training @ iter =  547300
training @ iter =  547400
training @ iter =  547500
training @ iter =  547600
training @ iter =  547700
training @ iter =  547800
training @ iter =  547900
training @ iter =  548000
training @ iter =  548100
training @ iter =  548200
training @ iter =  548300
training @ iter =  548400
training @ iter =  548500
training @ iter =  548600
training @ iter =  548700
training @ iter =  548800
training @ iter =  548900
training @ iter =  549000
training @ iter =  549100
training @ iter =  549200
training @ iter =  549300
training @ iter =  549400
epoch 157, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  549500
training @ iter =  549600
training @ iter =  549700
training @ iter =  549800
training @ iter =  549900
training @ iter =  550000
training @ iter =  550100
training @ iter =  550200
training @ iter =  550300
training @ iter =  550400
training @ iter =  550500
training @ iter =  550600
training @ iter =  550700
training @ iter =  550800
training @ iter =  550900
training @ iter =  551000
training @ iter =  551100
training @ iter =  551200
training @ iter =  551300
training @ iter =  551400
training @ iter =  551500
training @ iter =  551600
training @ iter =  551700
training @ iter =  551800
training @ iter =  551900
training @ iter =  552000
training @ iter =  552100
training @ iter =  552200
training @ iter =  552300
training @ iter =  552400
training @ iter =  552500
training @ iter =  552600
training @ iter =  552700
training @ iter =  552800
training @ iter =  552900
epoch 158, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  553000
training @ iter =  553100
training @ iter =  553200
training @ iter =  553300
training @ iter =  553400
training @ iter =  553500
training @ iter =  553600
training @ iter =  553700
training @ iter =  553800
training @ iter =  553900
training @ iter =  554000
training @ iter =  554100
training @ iter =  554200
training @ iter =  554300
training @ iter =  554400
training @ iter =  554500
training @ iter =  554600
training @ iter =  554700
training @ iter =  554800
training @ iter =  554900
training @ iter =  555000
training @ iter =  555100
training @ iter =  555200
training @ iter =  555300
training @ iter =  555400
training @ iter =  555500
training @ iter =  555600
training @ iter =  555700
training @ iter =  555800
training @ iter =  555900
training @ iter =  556000
training @ iter =  556100
training @ iter =  556200
training @ iter =  556300
training @ iter =  556400
epoch 159, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  556500
training @ iter =  556600
training @ iter =  556700
training @ iter =  556800
training @ iter =  556900
training @ iter =  557000
training @ iter =  557100
training @ iter =  557200
training @ iter =  557300
training @ iter =  557400
training @ iter =  557500
training @ iter =  557600
training @ iter =  557700
training @ iter =  557800
training @ iter =  557900
training @ iter =  558000
training @ iter =  558100
training @ iter =  558200
training @ iter =  558300
training @ iter =  558400
training @ iter =  558500
training @ iter =  558600
training @ iter =  558700
training @ iter =  558800
training @ iter =  558900
training @ iter =  559000
training @ iter =  559100
training @ iter =  559200
training @ iter =  559300
training @ iter =  559400
training @ iter =  559500
training @ iter =  559600
training @ iter =  559700
training @ iter =  559800
training @ iter =  559900
epoch 160, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  560000
training @ iter =  560100
training @ iter =  560200
training @ iter =  560300
training @ iter =  560400
training @ iter =  560500
training @ iter =  560600
training @ iter =  560700
training @ iter =  560800
training @ iter =  560900
training @ iter =  561000
training @ iter =  561100
training @ iter =  561200
training @ iter =  561300
training @ iter =  561400
training @ iter =  561500
training @ iter =  561600
training @ iter =  561700
training @ iter =  561800
training @ iter =  561900
training @ iter =  562000
training @ iter =  562100
training @ iter =  562200
training @ iter =  562300
training @ iter =  562400
training @ iter =  562500
training @ iter =  562600
training @ iter =  562700
training @ iter =  562800
training @ iter =  562900
training @ iter =  563000
training @ iter =  563100
training @ iter =  563200
training @ iter =  563300
training @ iter =  563400
epoch 161, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  563500
training @ iter =  563600
training @ iter =  563700
training @ iter =  563800
training @ iter =  563900
training @ iter =  564000
training @ iter =  564100
training @ iter =  564200
training @ iter =  564300
training @ iter =  564400
training @ iter =  564500
training @ iter =  564600
training @ iter =  564700
training @ iter =  564800
training @ iter =  564900
training @ iter =  565000
training @ iter =  565100
training @ iter =  565200
training @ iter =  565300
training @ iter =  565400
training @ iter =  565500
training @ iter =  565600
training @ iter =  565700
training @ iter =  565800
training @ iter =  565900
training @ iter =  566000
training @ iter =  566100
training @ iter =  566200
training @ iter =  566300
training @ iter =  566400
training @ iter =  566500
training @ iter =  566600
training @ iter =  566700
training @ iter =  566800
training @ iter =  566900
epoch 162, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  567000
training @ iter =  567100
training @ iter =  567200
training @ iter =  567300
training @ iter =  567400
training @ iter =  567500
training @ iter =  567600
training @ iter =  567700
training @ iter =  567800
training @ iter =  567900
training @ iter =  568000
training @ iter =  568100
training @ iter =  568200
training @ iter =  568300
training @ iter =  568400
training @ iter =  568500
training @ iter =  568600
training @ iter =  568700
training @ iter =  568800
training @ iter =  568900
training @ iter =  569000
training @ iter =  569100
training @ iter =  569200
training @ iter =  569300
training @ iter =  569400
training @ iter =  569500
training @ iter =  569600
training @ iter =  569700
training @ iter =  569800
training @ iter =  569900
training @ iter =  570000
training @ iter =  570100
training @ iter =  570200
training @ iter =  570300
training @ iter =  570400
epoch 163, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  570500
training @ iter =  570600
training @ iter =  570700
training @ iter =  570800
training @ iter =  570900
training @ iter =  571000
training @ iter =  571100
training @ iter =  571200
training @ iter =  571300
training @ iter =  571400
training @ iter =  571500
training @ iter =  571600
training @ iter =  571700
training @ iter =  571800
training @ iter =  571900
training @ iter =  572000
training @ iter =  572100
training @ iter =  572200
training @ iter =  572300
training @ iter =  572400
training @ iter =  572500
training @ iter =  572600
training @ iter =  572700
training @ iter =  572800
training @ iter =  572900
training @ iter =  573000
training @ iter =  573100
training @ iter =  573200
training @ iter =  573300
training @ iter =  573400
training @ iter =  573500
training @ iter =  573600
training @ iter =  573700
training @ iter =  573800
training @ iter =  573900
epoch 164, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  574000
training @ iter =  574100
training @ iter =  574200
training @ iter =  574300
training @ iter =  574400
training @ iter =  574500
training @ iter =  574600
training @ iter =  574700
training @ iter =  574800
training @ iter =  574900
training @ iter =  575000
training @ iter =  575100
training @ iter =  575200
training @ iter =  575300
training @ iter =  575400
training @ iter =  575500
training @ iter =  575600
training @ iter =  575700
training @ iter =  575800
training @ iter =  575900
training @ iter =  576000
training @ iter =  576100
training @ iter =  576200
training @ iter =  576300
training @ iter =  576400
training @ iter =  576500
training @ iter =  576600
training @ iter =  576700
training @ iter =  576800
training @ iter =  576900
training @ iter =  577000
training @ iter =  577100
training @ iter =  577200
training @ iter =  577300
training @ iter =  577400
epoch 165, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  577500
training @ iter =  577600
training @ iter =  577700
training @ iter =  577800
training @ iter =  577900
training @ iter =  578000
training @ iter =  578100
training @ iter =  578200
training @ iter =  578300
training @ iter =  578400
training @ iter =  578500
training @ iter =  578600
training @ iter =  578700
training @ iter =  578800
training @ iter =  578900
training @ iter =  579000
training @ iter =  579100
training @ iter =  579200
training @ iter =  579300
training @ iter =  579400
training @ iter =  579500
training @ iter =  579600
training @ iter =  579700
training @ iter =  579800
training @ iter =  579900
training @ iter =  580000
training @ iter =  580100
training @ iter =  580200
training @ iter =  580300
training @ iter =  580400
training @ iter =  580500
training @ iter =  580600
training @ iter =  580700
training @ iter =  580800
training @ iter =  580900
epoch 166, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  581000
training @ iter =  581100
training @ iter =  581200
training @ iter =  581300
training @ iter =  581400
training @ iter =  581500
training @ iter =  581600
training @ iter =  581700
training @ iter =  581800
training @ iter =  581900
training @ iter =  582000
training @ iter =  582100
training @ iter =  582200
training @ iter =  582300
training @ iter =  582400
training @ iter =  582500
training @ iter =  582600
training @ iter =  582700
training @ iter =  582800
training @ iter =  582900
training @ iter =  583000
training @ iter =  583100
training @ iter =  583200
training @ iter =  583300
training @ iter =  583400
training @ iter =  583500
training @ iter =  583600
training @ iter =  583700
training @ iter =  583800
training @ iter =  583900
training @ iter =  584000
training @ iter =  584100
training @ iter =  584200
training @ iter =  584300
training @ iter =  584400
epoch 167, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  584500
training @ iter =  584600
training @ iter =  584700
training @ iter =  584800
training @ iter =  584900
training @ iter =  585000
training @ iter =  585100
training @ iter =  585200
training @ iter =  585300
training @ iter =  585400
training @ iter =  585500
training @ iter =  585600
training @ iter =  585700
training @ iter =  585800
training @ iter =  585900
training @ iter =  586000
training @ iter =  586100
training @ iter =  586200
training @ iter =  586300
training @ iter =  586400
training @ iter =  586500
training @ iter =  586600
training @ iter =  586700
training @ iter =  586800
training @ iter =  586900
training @ iter =  587000
training @ iter =  587100
training @ iter =  587200
training @ iter =  587300
training @ iter =  587400
training @ iter =  587500
training @ iter =  587600
training @ iter =  587700
training @ iter =  587800
training @ iter =  587900
epoch 168, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  588000
training @ iter =  588100
training @ iter =  588200
training @ iter =  588300
training @ iter =  588400
training @ iter =  588500
training @ iter =  588600
training @ iter =  588700
training @ iter =  588800
training @ iter =  588900
training @ iter =  589000
training @ iter =  589100
training @ iter =  589200
training @ iter =  589300
training @ iter =  589400
training @ iter =  589500
training @ iter =  589600
training @ iter =  589700
training @ iter =  589800
training @ iter =  589900
training @ iter =  590000
training @ iter =  590100
training @ iter =  590200
training @ iter =  590300
training @ iter =  590400
training @ iter =  590500
training @ iter =  590600
training @ iter =  590700
training @ iter =  590800
training @ iter =  590900
training @ iter =  591000
training @ iter =  591100
training @ iter =  591200
training @ iter =  591300
training @ iter =  591400
epoch 169, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  591500
training @ iter =  591600
training @ iter =  591700
training @ iter =  591800
training @ iter =  591900
training @ iter =  592000
training @ iter =  592100
training @ iter =  592200
training @ iter =  592300
training @ iter =  592400
training @ iter =  592500
training @ iter =  592600
training @ iter =  592700
training @ iter =  592800
training @ iter =  592900
training @ iter =  593000
training @ iter =  593100
training @ iter =  593200
training @ iter =  593300
training @ iter =  593400
training @ iter =  593500
training @ iter =  593600
training @ iter =  593700
training @ iter =  593800
training @ iter =  593900
training @ iter =  594000
training @ iter =  594100
training @ iter =  594200
training @ iter =  594300
training @ iter =  594400
training @ iter =  594500
training @ iter =  594600
training @ iter =  594700
training @ iter =  594800
training @ iter =  594900
epoch 170, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  595000
training @ iter =  595100
training @ iter =  595200
training @ iter =  595300
training @ iter =  595400
training @ iter =  595500
training @ iter =  595600
training @ iter =  595700
training @ iter =  595800
training @ iter =  595900
training @ iter =  596000
training @ iter =  596100
training @ iter =  596200
training @ iter =  596300
training @ iter =  596400
training @ iter =  596500
training @ iter =  596600
training @ iter =  596700
training @ iter =  596800
training @ iter =  596900
training @ iter =  597000
training @ iter =  597100
training @ iter =  597200
training @ iter =  597300
training @ iter =  597400
training @ iter =  597500
training @ iter =  597600
training @ iter =  597700
training @ iter =  597800
training @ iter =  597900
training @ iter =  598000
training @ iter =  598100
training @ iter =  598200
training @ iter =  598300
training @ iter =  598400
epoch 171, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  598500
training @ iter =  598600
training @ iter =  598700
training @ iter =  598800
training @ iter =  598900
training @ iter =  599000
training @ iter =  599100
training @ iter =  599200
training @ iter =  599300
training @ iter =  599400
training @ iter =  599500
training @ iter =  599600
training @ iter =  599700
training @ iter =  599800
training @ iter =  599900
training @ iter =  600000
training @ iter =  600100
training @ iter =  600200
training @ iter =  600300
training @ iter =  600400
training @ iter =  600500
training @ iter =  600600
training @ iter =  600700
training @ iter =  600800
training @ iter =  600900
training @ iter =  601000
training @ iter =  601100
training @ iter =  601200
training @ iter =  601300
training @ iter =  601400
training @ iter =  601500
training @ iter =  601600
training @ iter =  601700
training @ iter =  601800
training @ iter =  601900
epoch 172, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  602000
training @ iter =  602100
training @ iter =  602200
training @ iter =  602300
training @ iter =  602400
training @ iter =  602500
training @ iter =  602600
training @ iter =  602700
training @ iter =  602800
training @ iter =  602900
training @ iter =  603000
training @ iter =  603100
training @ iter =  603200
training @ iter =  603300
training @ iter =  603400
training @ iter =  603500
training @ iter =  603600
training @ iter =  603700
training @ iter =  603800
training @ iter =  603900
training @ iter =  604000
training @ iter =  604100
training @ iter =  604200
training @ iter =  604300
training @ iter =  604400
training @ iter =  604500
training @ iter =  604600
training @ iter =  604700
training @ iter =  604800
training @ iter =  604900
training @ iter =  605000
training @ iter =  605100
training @ iter =  605200
training @ iter =  605300
training @ iter =  605400
epoch 173, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  605500
training @ iter =  605600
training @ iter =  605700
training @ iter =  605800
training @ iter =  605900
training @ iter =  606000
training @ iter =  606100
training @ iter =  606200
training @ iter =  606300
training @ iter =  606400
training @ iter =  606500
training @ iter =  606600
training @ iter =  606700
training @ iter =  606800
training @ iter =  606900
training @ iter =  607000
training @ iter =  607100
training @ iter =  607200
training @ iter =  607300
training @ iter =  607400
training @ iter =  607500
training @ iter =  607600
training @ iter =  607700
training @ iter =  607800
training @ iter =  607900
training @ iter =  608000
training @ iter =  608100
training @ iter =  608200
training @ iter =  608300
training @ iter =  608400
training @ iter =  608500
training @ iter =  608600
training @ iter =  608700
training @ iter =  608800
training @ iter =  608900
epoch 174, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  609000
training @ iter =  609100
training @ iter =  609200
training @ iter =  609300
training @ iter =  609400
training @ iter =  609500
training @ iter =  609600
training @ iter =  609700
training @ iter =  609800
training @ iter =  609900
training @ iter =  610000
training @ iter =  610100
training @ iter =  610200
training @ iter =  610300
training @ iter =  610400
training @ iter =  610500
training @ iter =  610600
training @ iter =  610700
training @ iter =  610800
training @ iter =  610900
training @ iter =  611000
training @ iter =  611100
training @ iter =  611200
training @ iter =  611300
training @ iter =  611400
training @ iter =  611500
training @ iter =  611600
training @ iter =  611700
training @ iter =  611800
training @ iter =  611900
training @ iter =  612000
training @ iter =  612100
training @ iter =  612200
training @ iter =  612300
training @ iter =  612400
epoch 175, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  612500
training @ iter =  612600
training @ iter =  612700
training @ iter =  612800
training @ iter =  612900
training @ iter =  613000
training @ iter =  613100
training @ iter =  613200
training @ iter =  613300
training @ iter =  613400
training @ iter =  613500
training @ iter =  613600
training @ iter =  613700
training @ iter =  613800
training @ iter =  613900
training @ iter =  614000
training @ iter =  614100
training @ iter =  614200
training @ iter =  614300
training @ iter =  614400
training @ iter =  614500
training @ iter =  614600
training @ iter =  614700
training @ iter =  614800
training @ iter =  614900
training @ iter =  615000
training @ iter =  615100
training @ iter =  615200
training @ iter =  615300
training @ iter =  615400
training @ iter =  615500
training @ iter =  615600
training @ iter =  615700
training @ iter =  615800
training @ iter =  615900
epoch 176, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  616000
training @ iter =  616100
training @ iter =  616200
training @ iter =  616300
training @ iter =  616400
training @ iter =  616500
training @ iter =  616600
training @ iter =  616700
training @ iter =  616800
training @ iter =  616900
training @ iter =  617000
training @ iter =  617100
training @ iter =  617200
training @ iter =  617300
training @ iter =  617400
training @ iter =  617500
training @ iter =  617600
training @ iter =  617700
training @ iter =  617800
training @ iter =  617900
training @ iter =  618000
training @ iter =  618100
training @ iter =  618200
training @ iter =  618300
training @ iter =  618400
training @ iter =  618500
training @ iter =  618600
training @ iter =  618700
training @ iter =  618800
training @ iter =  618900
training @ iter =  619000
training @ iter =  619100
training @ iter =  619200
training @ iter =  619300
training @ iter =  619400
epoch 177, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  619500
training @ iter =  619600
training @ iter =  619700
training @ iter =  619800
training @ iter =  619900
training @ iter =  620000
training @ iter =  620100
training @ iter =  620200
training @ iter =  620300
training @ iter =  620400
training @ iter =  620500
training @ iter =  620600
training @ iter =  620700
training @ iter =  620800
training @ iter =  620900
training @ iter =  621000
training @ iter =  621100
training @ iter =  621200
training @ iter =  621300
training @ iter =  621400
training @ iter =  621500
training @ iter =  621600
training @ iter =  621700
training @ iter =  621800
training @ iter =  621900
training @ iter =  622000
training @ iter =  622100
training @ iter =  622200
training @ iter =  622300
training @ iter =  622400
training @ iter =  622500
training @ iter =  622600
training @ iter =  622700
training @ iter =  622800
training @ iter =  622900
epoch 178, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  623000
training @ iter =  623100
training @ iter =  623200
training @ iter =  623300
training @ iter =  623400
training @ iter =  623500
training @ iter =  623600
training @ iter =  623700
training @ iter =  623800
training @ iter =  623900
training @ iter =  624000
training @ iter =  624100
training @ iter =  624200
training @ iter =  624300
training @ iter =  624400
training @ iter =  624500
training @ iter =  624600
training @ iter =  624700
training @ iter =  624800
training @ iter =  624900
training @ iter =  625000
training @ iter =  625100
training @ iter =  625200
training @ iter =  625300
training @ iter =  625400
training @ iter =  625500
training @ iter =  625600
training @ iter =  625700
training @ iter =  625800
training @ iter =  625900
training @ iter =  626000
training @ iter =  626100
training @ iter =  626200
training @ iter =  626300
training @ iter =  626400
epoch 179, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  626500
training @ iter =  626600
training @ iter =  626700
training @ iter =  626800
training @ iter =  626900
training @ iter =  627000
training @ iter =  627100
training @ iter =  627200
training @ iter =  627300
training @ iter =  627400
training @ iter =  627500
training @ iter =  627600
training @ iter =  627700
training @ iter =  627800
training @ iter =  627900
training @ iter =  628000
training @ iter =  628100
training @ iter =  628200
training @ iter =  628300
training @ iter =  628400
training @ iter =  628500
training @ iter =  628600
training @ iter =  628700
training @ iter =  628800
training @ iter =  628900
training @ iter =  629000
training @ iter =  629100
training @ iter =  629200
training @ iter =  629300
training @ iter =  629400
training @ iter =  629500
training @ iter =  629600
training @ iter =  629700
training @ iter =  629800
training @ iter =  629900
epoch 180, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  630000
training @ iter =  630100
training @ iter =  630200
training @ iter =  630300
training @ iter =  630400
training @ iter =  630500
training @ iter =  630600
training @ iter =  630700
training @ iter =  630800
training @ iter =  630900
training @ iter =  631000
training @ iter =  631100
training @ iter =  631200
training @ iter =  631300
training @ iter =  631400
training @ iter =  631500
training @ iter =  631600
training @ iter =  631700
training @ iter =  631800
training @ iter =  631900
training @ iter =  632000
training @ iter =  632100
training @ iter =  632200
training @ iter =  632300
training @ iter =  632400
training @ iter =  632500
training @ iter =  632600
training @ iter =  632700
training @ iter =  632800
training @ iter =  632900
training @ iter =  633000
training @ iter =  633100
training @ iter =  633200
training @ iter =  633300
training @ iter =  633400
epoch 181, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  633500
training @ iter =  633600
training @ iter =  633700
training @ iter =  633800
training @ iter =  633900
training @ iter =  634000
training @ iter =  634100
training @ iter =  634200
training @ iter =  634300
training @ iter =  634400
training @ iter =  634500
training @ iter =  634600
training @ iter =  634700
training @ iter =  634800
training @ iter =  634900
training @ iter =  635000
training @ iter =  635100
training @ iter =  635200
training @ iter =  635300
training @ iter =  635400
training @ iter =  635500
training @ iter =  635600
training @ iter =  635700
training @ iter =  635800
training @ iter =  635900
training @ iter =  636000
training @ iter =  636100
training @ iter =  636200
training @ iter =  636300
training @ iter =  636400
training @ iter =  636500
training @ iter =  636600
training @ iter =  636700
training @ iter =  636800
training @ iter =  636900
epoch 182, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  637000
training @ iter =  637100
training @ iter =  637200
training @ iter =  637300
training @ iter =  637400
training @ iter =  637500
training @ iter =  637600
training @ iter =  637700
training @ iter =  637800
training @ iter =  637900
training @ iter =  638000
training @ iter =  638100
training @ iter =  638200
training @ iter =  638300
training @ iter =  638400
training @ iter =  638500
training @ iter =  638600
training @ iter =  638700
training @ iter =  638800
training @ iter =  638900
training @ iter =  639000
training @ iter =  639100
training @ iter =  639200
training @ iter =  639300
training @ iter =  639400
training @ iter =  639500
training @ iter =  639600
training @ iter =  639700
training @ iter =  639800
training @ iter =  639900
training @ iter =  640000
training @ iter =  640100
training @ iter =  640200
training @ iter =  640300
training @ iter =  640400
epoch 183, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  640500
training @ iter =  640600
training @ iter =  640700
training @ iter =  640800
training @ iter =  640900
training @ iter =  641000
training @ iter =  641100
training @ iter =  641200
training @ iter =  641300
training @ iter =  641400
training @ iter =  641500
training @ iter =  641600
training @ iter =  641700
training @ iter =  641800
training @ iter =  641900
training @ iter =  642000
training @ iter =  642100
training @ iter =  642200
training @ iter =  642300
training @ iter =  642400
training @ iter =  642500
training @ iter =  642600
training @ iter =  642700
training @ iter =  642800
training @ iter =  642900
training @ iter =  643000
training @ iter =  643100
training @ iter =  643200
training @ iter =  643300
training @ iter =  643400
training @ iter =  643500
training @ iter =  643600
training @ iter =  643700
training @ iter =  643800
training @ iter =  643900
epoch 184, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  644000
training @ iter =  644100
training @ iter =  644200
training @ iter =  644300
training @ iter =  644400
training @ iter =  644500
training @ iter =  644600
training @ iter =  644700
training @ iter =  644800
training @ iter =  644900
training @ iter =  645000
training @ iter =  645100
training @ iter =  645200
training @ iter =  645300
training @ iter =  645400
training @ iter =  645500
training @ iter =  645600
training @ iter =  645700
training @ iter =  645800
training @ iter =  645900
training @ iter =  646000
training @ iter =  646100
training @ iter =  646200
training @ iter =  646300
training @ iter =  646400
training @ iter =  646500
training @ iter =  646600
training @ iter =  646700
training @ iter =  646800
training @ iter =  646900
training @ iter =  647000
training @ iter =  647100
training @ iter =  647200
training @ iter =  647300
training @ iter =  647400
epoch 185, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  647500
training @ iter =  647600
training @ iter =  647700
training @ iter =  647800
training @ iter =  647900
training @ iter =  648000
training @ iter =  648100
training @ iter =  648200
training @ iter =  648300
training @ iter =  648400
training @ iter =  648500
training @ iter =  648600
training @ iter =  648700
training @ iter =  648800
training @ iter =  648900
training @ iter =  649000
training @ iter =  649100
training @ iter =  649200
training @ iter =  649300
training @ iter =  649400
training @ iter =  649500
training @ iter =  649600
training @ iter =  649700
training @ iter =  649800
training @ iter =  649900
training @ iter =  650000
training @ iter =  650100
training @ iter =  650200
training @ iter =  650300
training @ iter =  650400
training @ iter =  650500
training @ iter =  650600
training @ iter =  650700
training @ iter =  650800
training @ iter =  650900
epoch 186, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  651000
training @ iter =  651100
training @ iter =  651200
training @ iter =  651300
training @ iter =  651400
training @ iter =  651500
training @ iter =  651600
training @ iter =  651700
training @ iter =  651800
training @ iter =  651900
training @ iter =  652000
training @ iter =  652100
training @ iter =  652200
training @ iter =  652300
training @ iter =  652400
training @ iter =  652500
training @ iter =  652600
training @ iter =  652700
training @ iter =  652800
training @ iter =  652900
training @ iter =  653000
training @ iter =  653100
training @ iter =  653200
training @ iter =  653300
training @ iter =  653400
training @ iter =  653500
training @ iter =  653600
training @ iter =  653700
training @ iter =  653800
training @ iter =  653900
training @ iter =  654000
training @ iter =  654100
training @ iter =  654200
training @ iter =  654300
training @ iter =  654400
epoch 187, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  654500
training @ iter =  654600
training @ iter =  654700
training @ iter =  654800
training @ iter =  654900
training @ iter =  655000
training @ iter =  655100
training @ iter =  655200
training @ iter =  655300
training @ iter =  655400
training @ iter =  655500
training @ iter =  655600
training @ iter =  655700
training @ iter =  655800
training @ iter =  655900
training @ iter =  656000
training @ iter =  656100
training @ iter =  656200
training @ iter =  656300
training @ iter =  656400
training @ iter =  656500
training @ iter =  656600
training @ iter =  656700
training @ iter =  656800
training @ iter =  656900
training @ iter =  657000
training @ iter =  657100
training @ iter =  657200
training @ iter =  657300
training @ iter =  657400
training @ iter =  657500
training @ iter =  657600
training @ iter =  657700
training @ iter =  657800
training @ iter =  657900
epoch 188, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  658000
training @ iter =  658100
training @ iter =  658200
training @ iter =  658300
training @ iter =  658400
training @ iter =  658500
training @ iter =  658600
training @ iter =  658700
training @ iter =  658800
training @ iter =  658900
training @ iter =  659000
training @ iter =  659100
training @ iter =  659200
training @ iter =  659300
training @ iter =  659400
training @ iter =  659500
training @ iter =  659600
training @ iter =  659700
training @ iter =  659800
training @ iter =  659900
training @ iter =  660000
training @ iter =  660100
training @ iter =  660200
training @ iter =  660300
training @ iter =  660400
training @ iter =  660500
training @ iter =  660600
training @ iter =  660700
training @ iter =  660800
training @ iter =  660900
training @ iter =  661000
training @ iter =  661100
training @ iter =  661200
training @ iter =  661300
training @ iter =  661400
epoch 189, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  661500
training @ iter =  661600
training @ iter =  661700
training @ iter =  661800
training @ iter =  661900
training @ iter =  662000
training @ iter =  662100
training @ iter =  662200
training @ iter =  662300
training @ iter =  662400
training @ iter =  662500
training @ iter =  662600
training @ iter =  662700
training @ iter =  662800
training @ iter =  662900
training @ iter =  663000
training @ iter =  663100
training @ iter =  663200
training @ iter =  663300
training @ iter =  663400
training @ iter =  663500
training @ iter =  663600
training @ iter =  663700
training @ iter =  663800
training @ iter =  663900
training @ iter =  664000
training @ iter =  664100
training @ iter =  664200
training @ iter =  664300
training @ iter =  664400
training @ iter =  664500
training @ iter =  664600
training @ iter =  664700
training @ iter =  664800
training @ iter =  664900
epoch 190, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  665000
training @ iter =  665100
training @ iter =  665200
training @ iter =  665300
training @ iter =  665400
training @ iter =  665500
training @ iter =  665600
training @ iter =  665700
training @ iter =  665800
training @ iter =  665900
training @ iter =  666000
training @ iter =  666100
training @ iter =  666200
training @ iter =  666300
training @ iter =  666400
training @ iter =  666500
training @ iter =  666600
training @ iter =  666700
training @ iter =  666800
training @ iter =  666900
training @ iter =  667000
training @ iter =  667100
training @ iter =  667200
training @ iter =  667300
training @ iter =  667400
training @ iter =  667500
training @ iter =  667600
training @ iter =  667700
training @ iter =  667800
training @ iter =  667900
training @ iter =  668000
training @ iter =  668100
training @ iter =  668200
training @ iter =  668300
training @ iter =  668400
epoch 191, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  668500
training @ iter =  668600
training @ iter =  668700
training @ iter =  668800
training @ iter =  668900
training @ iter =  669000
training @ iter =  669100
training @ iter =  669200
training @ iter =  669300
training @ iter =  669400
training @ iter =  669500
training @ iter =  669600
training @ iter =  669700
training @ iter =  669800
training @ iter =  669900
training @ iter =  670000
training @ iter =  670100
training @ iter =  670200
training @ iter =  670300
training @ iter =  670400
training @ iter =  670500
training @ iter =  670600
training @ iter =  670700
training @ iter =  670800
training @ iter =  670900
training @ iter =  671000
training @ iter =  671100
training @ iter =  671200
training @ iter =  671300
training @ iter =  671400
training @ iter =  671500
training @ iter =  671600
training @ iter =  671700
training @ iter =  671800
training @ iter =  671900
epoch 192, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  672000
training @ iter =  672100
training @ iter =  672200
training @ iter =  672300
training @ iter =  672400
training @ iter =  672500
training @ iter =  672600
training @ iter =  672700
training @ iter =  672800
training @ iter =  672900
training @ iter =  673000
training @ iter =  673100
training @ iter =  673200
training @ iter =  673300
training @ iter =  673400
training @ iter =  673500
training @ iter =  673600
training @ iter =  673700
training @ iter =  673800
training @ iter =  673900
training @ iter =  674000
training @ iter =  674100
training @ iter =  674200
training @ iter =  674300
training @ iter =  674400
training @ iter =  674500
training @ iter =  674600
training @ iter =  674700
training @ iter =  674800
training @ iter =  674900
training @ iter =  675000
training @ iter =  675100
training @ iter =  675200
training @ iter =  675300
training @ iter =  675400
epoch 193, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  675500
training @ iter =  675600
training @ iter =  675700
training @ iter =  675800
training @ iter =  675900
training @ iter =  676000
training @ iter =  676100
training @ iter =  676200
training @ iter =  676300
training @ iter =  676400
training @ iter =  676500
training @ iter =  676600
training @ iter =  676700
training @ iter =  676800
training @ iter =  676900
training @ iter =  677000
training @ iter =  677100
training @ iter =  677200
training @ iter =  677300
training @ iter =  677400
training @ iter =  677500
training @ iter =  677600
training @ iter =  677700
training @ iter =  677800
training @ iter =  677900
training @ iter =  678000
training @ iter =  678100
training @ iter =  678200
training @ iter =  678300
training @ iter =  678400
training @ iter =  678500
training @ iter =  678600
training @ iter =  678700
training @ iter =  678800
training @ iter =  678900
epoch 194, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  679000
training @ iter =  679100
training @ iter =  679200
training @ iter =  679300
training @ iter =  679400
training @ iter =  679500
training @ iter =  679600
training @ iter =  679700
training @ iter =  679800
training @ iter =  679900
training @ iter =  680000
training @ iter =  680100
training @ iter =  680200
training @ iter =  680300
training @ iter =  680400
training @ iter =  680500
training @ iter =  680600
training @ iter =  680700
training @ iter =  680800
training @ iter =  680900
training @ iter =  681000
training @ iter =  681100
training @ iter =  681200
training @ iter =  681300
training @ iter =  681400
training @ iter =  681500
training @ iter =  681600
training @ iter =  681700
training @ iter =  681800
training @ iter =  681900
training @ iter =  682000
training @ iter =  682100
training @ iter =  682200
training @ iter =  682300
training @ iter =  682400
epoch 195, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  682500
training @ iter =  682600
training @ iter =  682700
training @ iter =  682800
training @ iter =  682900
training @ iter =  683000
training @ iter =  683100
training @ iter =  683200
training @ iter =  683300
training @ iter =  683400
training @ iter =  683500
training @ iter =  683600
training @ iter =  683700
training @ iter =  683800
training @ iter =  683900
training @ iter =  684000
training @ iter =  684100
training @ iter =  684200
training @ iter =  684300
training @ iter =  684400
training @ iter =  684500
training @ iter =  684600
training @ iter =  684700
training @ iter =  684800
training @ iter =  684900
training @ iter =  685000
training @ iter =  685100
training @ iter =  685200
training @ iter =  685300
training @ iter =  685400
training @ iter =  685500
training @ iter =  685600
training @ iter =  685700
training @ iter =  685800
training @ iter =  685900
epoch 196, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  686000
training @ iter =  686100
training @ iter =  686200
training @ iter =  686300
training @ iter =  686400
training @ iter =  686500
training @ iter =  686600
training @ iter =  686700
training @ iter =  686800
training @ iter =  686900
training @ iter =  687000
training @ iter =  687100
training @ iter =  687200
training @ iter =  687300
training @ iter =  687400
training @ iter =  687500
training @ iter =  687600
training @ iter =  687700
training @ iter =  687800
training @ iter =  687900
training @ iter =  688000
training @ iter =  688100
training @ iter =  688200
training @ iter =  688300
training @ iter =  688400
training @ iter =  688500
training @ iter =  688600
training @ iter =  688700
training @ iter =  688800
training @ iter =  688900
training @ iter =  689000
training @ iter =  689100
training @ iter =  689200
training @ iter =  689300
training @ iter =  689400
epoch 197, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  689500
training @ iter =  689600
training @ iter =  689700
training @ iter =  689800
training @ iter =  689900
training @ iter =  690000
training @ iter =  690100
training @ iter =  690200
training @ iter =  690300
training @ iter =  690400
training @ iter =  690500
training @ iter =  690600
training @ iter =  690700
training @ iter =  690800
training @ iter =  690900
training @ iter =  691000
training @ iter =  691100
training @ iter =  691200
training @ iter =  691300
training @ iter =  691400
training @ iter =  691500
training @ iter =  691600
training @ iter =  691700
training @ iter =  691800
training @ iter =  691900
training @ iter =  692000
training @ iter =  692100
training @ iter =  692200
training @ iter =  692300
training @ iter =  692400
training @ iter =  692500
training @ iter =  692600
training @ iter =  692700
training @ iter =  692800
training @ iter =  692900
epoch 198, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  693000
training @ iter =  693100
training @ iter =  693200
training @ iter =  693300
training @ iter =  693400
training @ iter =  693500
training @ iter =  693600
training @ iter =  693700
training @ iter =  693800
training @ iter =  693900
training @ iter =  694000
training @ iter =  694100
training @ iter =  694200
training @ iter =  694300
training @ iter =  694400
training @ iter =  694500
training @ iter =  694600
training @ iter =  694700
training @ iter =  694800
training @ iter =  694900
training @ iter =  695000
training @ iter =  695100
training @ iter =  695200
training @ iter =  695300
training @ iter =  695400
training @ iter =  695500
training @ iter =  695600
training @ iter =  695700
training @ iter =  695800
training @ iter =  695900
training @ iter =  696000
training @ iter =  696100
training @ iter =  696200
training @ iter =  696300
training @ iter =  696400
epoch 199, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  696500
training @ iter =  696600
training @ iter =  696700
training @ iter =  696800
training @ iter =  696900
training @ iter =  697000
training @ iter =  697100
training @ iter =  697200
training @ iter =  697300
training @ iter =  697400
training @ iter =  697500
training @ iter =  697600
training @ iter =  697700
training @ iter =  697800
training @ iter =  697900
training @ iter =  698000
training @ iter =  698100
training @ iter =  698200
training @ iter =  698300
training @ iter =  698400
training @ iter =  698500
training @ iter =  698600
training @ iter =  698700
training @ iter =  698800
training @ iter =  698900
training @ iter =  699000
training @ iter =  699100
training @ iter =  699200
training @ iter =  699300
training @ iter =  699400
training @ iter =  699500
training @ iter =  699600
training @ iter =  699700
training @ iter =  699800
training @ iter =  699900
epoch 200, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  700000
training @ iter =  700100
training @ iter =  700200
training @ iter =  700300
training @ iter =  700400
training @ iter =  700500
training @ iter =  700600
training @ iter =  700700
training @ iter =  700800
training @ iter =  700900
training @ iter =  701000
training @ iter =  701100
training @ iter =  701200
training @ iter =  701300
training @ iter =  701400
training @ iter =  701500
training @ iter =  701600
training @ iter =  701700
training @ iter =  701800
training @ iter =  701900
training @ iter =  702000
training @ iter =  702100
training @ iter =  702200
training @ iter =  702300
training @ iter =  702400
training @ iter =  702500
training @ iter =  702600
training @ iter =  702700
training @ iter =  702800
training @ iter =  702900
training @ iter =  703000
training @ iter =  703100
training @ iter =  703200
training @ iter =  703300
training @ iter =  703400
epoch 201, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  703500
training @ iter =  703600
training @ iter =  703700
training @ iter =  703800
training @ iter =  703900
training @ iter =  704000
training @ iter =  704100
training @ iter =  704200
training @ iter =  704300
training @ iter =  704400
training @ iter =  704500
training @ iter =  704600
training @ iter =  704700
training @ iter =  704800
training @ iter =  704900
training @ iter =  705000
training @ iter =  705100
training @ iter =  705200
training @ iter =  705300
training @ iter =  705400
training @ iter =  705500
training @ iter =  705600
training @ iter =  705700
training @ iter =  705800
training @ iter =  705900
training @ iter =  706000
training @ iter =  706100
training @ iter =  706200
training @ iter =  706300
training @ iter =  706400
training @ iter =  706500
training @ iter =  706600
training @ iter =  706700
training @ iter =  706800
training @ iter =  706900
epoch 202, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  707000
training @ iter =  707100
training @ iter =  707200
training @ iter =  707300
training @ iter =  707400
training @ iter =  707500
training @ iter =  707600
training @ iter =  707700
training @ iter =  707800
training @ iter =  707900
training @ iter =  708000
training @ iter =  708100
training @ iter =  708200
training @ iter =  708300
training @ iter =  708400
training @ iter =  708500
training @ iter =  708600
training @ iter =  708700
training @ iter =  708800
training @ iter =  708900
training @ iter =  709000
training @ iter =  709100
training @ iter =  709200
training @ iter =  709300
training @ iter =  709400
training @ iter =  709500
training @ iter =  709600
training @ iter =  709700
training @ iter =  709800
training @ iter =  709900
training @ iter =  710000
training @ iter =  710100
training @ iter =  710200
training @ iter =  710300
training @ iter =  710400
epoch 203, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  710500
training @ iter =  710600
training @ iter =  710700
training @ iter =  710800
training @ iter =  710900
training @ iter =  711000
training @ iter =  711100
training @ iter =  711200
training @ iter =  711300
training @ iter =  711400
training @ iter =  711500
training @ iter =  711600
training @ iter =  711700
training @ iter =  711800
training @ iter =  711900
training @ iter =  712000
training @ iter =  712100
training @ iter =  712200
training @ iter =  712300
training @ iter =  712400
training @ iter =  712500
training @ iter =  712600
training @ iter =  712700
training @ iter =  712800
training @ iter =  712900
training @ iter =  713000
training @ iter =  713100
training @ iter =  713200
training @ iter =  713300
training @ iter =  713400
training @ iter =  713500
training @ iter =  713600
training @ iter =  713700
training @ iter =  713800
training @ iter =  713900
epoch 204, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  714000
training @ iter =  714100
training @ iter =  714200
training @ iter =  714300
training @ iter =  714400
training @ iter =  714500
training @ iter =  714600
training @ iter =  714700
training @ iter =  714800
training @ iter =  714900
training @ iter =  715000
training @ iter =  715100
training @ iter =  715200
training @ iter =  715300
training @ iter =  715400
training @ iter =  715500
training @ iter =  715600
training @ iter =  715700
training @ iter =  715800
training @ iter =  715900
training @ iter =  716000
training @ iter =  716100
training @ iter =  716200
training @ iter =  716300
training @ iter =  716400
training @ iter =  716500
training @ iter =  716600
training @ iter =  716700
training @ iter =  716800
training @ iter =  716900
training @ iter =  717000
training @ iter =  717100
training @ iter =  717200
training @ iter =  717300
training @ iter =  717400
epoch 205, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  717500
training @ iter =  717600
training @ iter =  717700
training @ iter =  717800
training @ iter =  717900
training @ iter =  718000
training @ iter =  718100
training @ iter =  718200
training @ iter =  718300
training @ iter =  718400
training @ iter =  718500
training @ iter =  718600
training @ iter =  718700
training @ iter =  718800
training @ iter =  718900
training @ iter =  719000
training @ iter =  719100
training @ iter =  719200
training @ iter =  719300
training @ iter =  719400
training @ iter =  719500
training @ iter =  719600
training @ iter =  719700
training @ iter =  719800
training @ iter =  719900
training @ iter =  720000
training @ iter =  720100
training @ iter =  720200
training @ iter =  720300
training @ iter =  720400
training @ iter =  720500
training @ iter =  720600
training @ iter =  720700
training @ iter =  720800
training @ iter =  720900
epoch 206, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  721000
training @ iter =  721100
training @ iter =  721200
training @ iter =  721300
training @ iter =  721400
training @ iter =  721500
training @ iter =  721600
training @ iter =  721700
training @ iter =  721800
training @ iter =  721900
training @ iter =  722000
training @ iter =  722100
training @ iter =  722200
training @ iter =  722300
training @ iter =  722400
training @ iter =  722500
training @ iter =  722600
training @ iter =  722700
training @ iter =  722800
training @ iter =  722900
training @ iter =  723000
training @ iter =  723100
training @ iter =  723200
training @ iter =  723300
training @ iter =  723400
training @ iter =  723500
training @ iter =  723600
training @ iter =  723700
training @ iter =  723800
training @ iter =  723900
training @ iter =  724000
training @ iter =  724100
training @ iter =  724200
training @ iter =  724300
training @ iter =  724400
epoch 207, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  724500
training @ iter =  724600
training @ iter =  724700
training @ iter =  724800
training @ iter =  724900
training @ iter =  725000
training @ iter =  725100
training @ iter =  725200
training @ iter =  725300
training @ iter =  725400
training @ iter =  725500
training @ iter =  725600
training @ iter =  725700
training @ iter =  725800
training @ iter =  725900
training @ iter =  726000
training @ iter =  726100
training @ iter =  726200
training @ iter =  726300
training @ iter =  726400
training @ iter =  726500
training @ iter =  726600
training @ iter =  726700
training @ iter =  726800
training @ iter =  726900
training @ iter =  727000
training @ iter =  727100
training @ iter =  727200
training @ iter =  727300
training @ iter =  727400
training @ iter =  727500
training @ iter =  727600
training @ iter =  727700
training @ iter =  727800
training @ iter =  727900
epoch 208, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  728000
training @ iter =  728100
training @ iter =  728200
training @ iter =  728300
training @ iter =  728400
training @ iter =  728500
training @ iter =  728600
training @ iter =  728700
training @ iter =  728800
training @ iter =  728900
training @ iter =  729000
training @ iter =  729100
training @ iter =  729200
training @ iter =  729300
training @ iter =  729400
training @ iter =  729500
training @ iter =  729600
training @ iter =  729700
training @ iter =  729800
training @ iter =  729900
training @ iter =  730000
training @ iter =  730100
training @ iter =  730200
training @ iter =  730300
training @ iter =  730400
training @ iter =  730500
training @ iter =  730600
training @ iter =  730700
training @ iter =  730800
training @ iter =  730900
training @ iter =  731000
training @ iter =  731100
training @ iter =  731200
training @ iter =  731300
training @ iter =  731400
epoch 209, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  731500
training @ iter =  731600
training @ iter =  731700
training @ iter =  731800
training @ iter =  731900
training @ iter =  732000
training @ iter =  732100
training @ iter =  732200
training @ iter =  732300
training @ iter =  732400
training @ iter =  732500
training @ iter =  732600
training @ iter =  732700
training @ iter =  732800
training @ iter =  732900
training @ iter =  733000
training @ iter =  733100
training @ iter =  733200
training @ iter =  733300
training @ iter =  733400
training @ iter =  733500
training @ iter =  733600
training @ iter =  733700
training @ iter =  733800
training @ iter =  733900
training @ iter =  734000
training @ iter =  734100
training @ iter =  734200
training @ iter =  734300
training @ iter =  734400
training @ iter =  734500
training @ iter =  734600
training @ iter =  734700
training @ iter =  734800
training @ iter =  734900
epoch 210, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  735000
training @ iter =  735100
training @ iter =  735200
training @ iter =  735300
training @ iter =  735400
training @ iter =  735500
training @ iter =  735600
training @ iter =  735700
training @ iter =  735800
training @ iter =  735900
training @ iter =  736000
training @ iter =  736100
training @ iter =  736200
training @ iter =  736300
training @ iter =  736400
training @ iter =  736500
training @ iter =  736600
training @ iter =  736700
training @ iter =  736800
training @ iter =  736900
training @ iter =  737000
training @ iter =  737100
training @ iter =  737200
training @ iter =  737300
training @ iter =  737400
training @ iter =  737500
training @ iter =  737600
training @ iter =  737700
training @ iter =  737800
training @ iter =  737900
training @ iter =  738000
training @ iter =  738100
training @ iter =  738200
training @ iter =  738300
training @ iter =  738400
epoch 211, minibatch 3500/3500, validation error 0.590000 %
     epoch 211, minibatch 3500/3500, test error of best model 0.600000 %
training @ iter =  738500
training @ iter =  738600
training @ iter =  738700
training @ iter =  738800
training @ iter =  738900
training @ iter =  739000
training @ iter =  739100
training @ iter =  739200
training @ iter =  739300
training @ iter =  739400
training @ iter =  739500
training @ iter =  739600
training @ iter =  739700
training @ iter =  739800
training @ iter =  739900
training @ iter =  740000
training @ iter =  740100
training @ iter =  740200
training @ iter =  740300
training @ iter =  740400
training @ iter =  740500
training @ iter =  740600
training @ iter =  740700
training @ iter =  740800
training @ iter =  740900
training @ iter =  741000
training @ iter =  741100
training @ iter =  741200
training @ iter =  741300
training @ iter =  741400
training @ iter =  741500
training @ iter =  741600
training @ iter =  741700
training @ iter =  741800
training @ iter =  741900
epoch 212, minibatch 3500/3500, validation error 0.580000 %
     epoch 212, minibatch 3500/3500, test error of best model 0.600000 %
training @ iter =  742000
training @ iter =  742100
training @ iter =  742200
training @ iter =  742300
training @ iter =  742400
training @ iter =  742500
training @ iter =  742600
training @ iter =  742700
training @ iter =  742800
training @ iter =  742900
training @ iter =  743000
training @ iter =  743100
training @ iter =  743200
training @ iter =  743300
training @ iter =  743400
training @ iter =  743500
training @ iter =  743600
training @ iter =  743700
training @ iter =  743800
training @ iter =  743900
training @ iter =  744000
training @ iter =  744100
training @ iter =  744200
training @ iter =  744300
training @ iter =  744400
training @ iter =  744500
training @ iter =  744600
training @ iter =  744700
training @ iter =  744800
training @ iter =  744900
training @ iter =  745000
training @ iter =  745100
training @ iter =  745200
training @ iter =  745300
training @ iter =  745400
epoch 213, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  745500
training @ iter =  745600
training @ iter =  745700
training @ iter =  745800
training @ iter =  745900
training @ iter =  746000
training @ iter =  746100
training @ iter =  746200
training @ iter =  746300
training @ iter =  746400
training @ iter =  746500
training @ iter =  746600
training @ iter =  746700
training @ iter =  746800
training @ iter =  746900
training @ iter =  747000
training @ iter =  747100
training @ iter =  747200
training @ iter =  747300
training @ iter =  747400
training @ iter =  747500
training @ iter =  747600
training @ iter =  747700
training @ iter =  747800
training @ iter =  747900
training @ iter =  748000
training @ iter =  748100
training @ iter =  748200
training @ iter =  748300
training @ iter =  748400
training @ iter =  748500
training @ iter =  748600
training @ iter =  748700
training @ iter =  748800
training @ iter =  748900
epoch 214, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  749000
training @ iter =  749100
training @ iter =  749200
training @ iter =  749300
training @ iter =  749400
training @ iter =  749500
training @ iter =  749600
training @ iter =  749700
training @ iter =  749800
training @ iter =  749900
training @ iter =  750000
training @ iter =  750100
training @ iter =  750200
training @ iter =  750300
training @ iter =  750400
training @ iter =  750500
training @ iter =  750600
training @ iter =  750700
training @ iter =  750800
training @ iter =  750900
training @ iter =  751000
training @ iter =  751100
training @ iter =  751200
training @ iter =  751300
training @ iter =  751400
training @ iter =  751500
training @ iter =  751600
training @ iter =  751700
training @ iter =  751800
training @ iter =  751900
training @ iter =  752000
training @ iter =  752100
training @ iter =  752200
training @ iter =  752300
training @ iter =  752400
epoch 215, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  752500
training @ iter =  752600
training @ iter =  752700
training @ iter =  752800
training @ iter =  752900
training @ iter =  753000
training @ iter =  753100
training @ iter =  753200
training @ iter =  753300
training @ iter =  753400
training @ iter =  753500
training @ iter =  753600
training @ iter =  753700
training @ iter =  753800
training @ iter =  753900
training @ iter =  754000
training @ iter =  754100
training @ iter =  754200
training @ iter =  754300
training @ iter =  754400
training @ iter =  754500
training @ iter =  754600
training @ iter =  754700
training @ iter =  754800
training @ iter =  754900
training @ iter =  755000
training @ iter =  755100
training @ iter =  755200
training @ iter =  755300
training @ iter =  755400
training @ iter =  755500
training @ iter =  755600
training @ iter =  755700
training @ iter =  755800
training @ iter =  755900
epoch 216, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  756000
training @ iter =  756100
training @ iter =  756200
training @ iter =  756300
training @ iter =  756400
training @ iter =  756500
training @ iter =  756600
training @ iter =  756700
training @ iter =  756800
training @ iter =  756900
training @ iter =  757000
training @ iter =  757100
training @ iter =  757200
training @ iter =  757300
training @ iter =  757400
training @ iter =  757500
training @ iter =  757600
training @ iter =  757700
training @ iter =  757800
training @ iter =  757900
training @ iter =  758000
training @ iter =  758100
training @ iter =  758200
training @ iter =  758300
training @ iter =  758400
training @ iter =  758500
training @ iter =  758600
training @ iter =  758700
training @ iter =  758800
training @ iter =  758900
training @ iter =  759000
training @ iter =  759100
training @ iter =  759200
training @ iter =  759300
training @ iter =  759400
epoch 217, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  759500
training @ iter =  759600
training @ iter =  759700
training @ iter =  759800
training @ iter =  759900
training @ iter =  760000
training @ iter =  760100
training @ iter =  760200
training @ iter =  760300
training @ iter =  760400
training @ iter =  760500
training @ iter =  760600
training @ iter =  760700
training @ iter =  760800
training @ iter =  760900
training @ iter =  761000
training @ iter =  761100
training @ iter =  761200
training @ iter =  761300
training @ iter =  761400
training @ iter =  761500
training @ iter =  761600
training @ iter =  761700
training @ iter =  761800
training @ iter =  761900
training @ iter =  762000
training @ iter =  762100
training @ iter =  762200
training @ iter =  762300
training @ iter =  762400
training @ iter =  762500
training @ iter =  762600
training @ iter =  762700
training @ iter =  762800
training @ iter =  762900
epoch 218, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  763000
training @ iter =  763100
training @ iter =  763200
training @ iter =  763300
training @ iter =  763400
training @ iter =  763500
training @ iter =  763600
training @ iter =  763700
training @ iter =  763800
training @ iter =  763900
training @ iter =  764000
training @ iter =  764100
training @ iter =  764200
training @ iter =  764300
training @ iter =  764400
training @ iter =  764500
training @ iter =  764600
training @ iter =  764700
training @ iter =  764800
training @ iter =  764900
training @ iter =  765000
training @ iter =  765100
training @ iter =  765200
training @ iter =  765300
training @ iter =  765400
training @ iter =  765500
training @ iter =  765600
training @ iter =  765700
training @ iter =  765800
training @ iter =  765900
training @ iter =  766000
training @ iter =  766100
training @ iter =  766200
training @ iter =  766300
training @ iter =  766400
epoch 219, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  766500
training @ iter =  766600
training @ iter =  766700
training @ iter =  766800
training @ iter =  766900
training @ iter =  767000
training @ iter =  767100
training @ iter =  767200
training @ iter =  767300
training @ iter =  767400
training @ iter =  767500
training @ iter =  767600
training @ iter =  767700
training @ iter =  767800
training @ iter =  767900
training @ iter =  768000
training @ iter =  768100
training @ iter =  768200
training @ iter =  768300
training @ iter =  768400
training @ iter =  768500
training @ iter =  768600
training @ iter =  768700
training @ iter =  768800
training @ iter =  768900
training @ iter =  769000
training @ iter =  769100
training @ iter =  769200
training @ iter =  769300
training @ iter =  769400
training @ iter =  769500
training @ iter =  769600
training @ iter =  769700
training @ iter =  769800
training @ iter =  769900
epoch 220, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  770000
training @ iter =  770100
training @ iter =  770200
training @ iter =  770300
training @ iter =  770400
training @ iter =  770500
training @ iter =  770600
training @ iter =  770700
training @ iter =  770800
training @ iter =  770900
training @ iter =  771000
training @ iter =  771100
training @ iter =  771200
training @ iter =  771300
training @ iter =  771400
training @ iter =  771500
training @ iter =  771600
training @ iter =  771700
training @ iter =  771800
training @ iter =  771900
training @ iter =  772000
training @ iter =  772100
training @ iter =  772200
training @ iter =  772300
training @ iter =  772400
training @ iter =  772500
training @ iter =  772600
training @ iter =  772700
training @ iter =  772800
training @ iter =  772900
training @ iter =  773000
training @ iter =  773100
training @ iter =  773200
training @ iter =  773300
training @ iter =  773400
epoch 221, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  773500
training @ iter =  773600
training @ iter =  773700
training @ iter =  773800
training @ iter =  773900
training @ iter =  774000
training @ iter =  774100
training @ iter =  774200
training @ iter =  774300
training @ iter =  774400
training @ iter =  774500
training @ iter =  774600
training @ iter =  774700
training @ iter =  774800
training @ iter =  774900
training @ iter =  775000
training @ iter =  775100
training @ iter =  775200
training @ iter =  775300
training @ iter =  775400
training @ iter =  775500
training @ iter =  775600
training @ iter =  775700
training @ iter =  775800
training @ iter =  775900
training @ iter =  776000
training @ iter =  776100
training @ iter =  776200
training @ iter =  776300
training @ iter =  776400
training @ iter =  776500
training @ iter =  776600
training @ iter =  776700
training @ iter =  776800
training @ iter =  776900
epoch 222, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  777000
training @ iter =  777100
training @ iter =  777200
training @ iter =  777300
training @ iter =  777400
training @ iter =  777500
training @ iter =  777600
training @ iter =  777700
training @ iter =  777800
training @ iter =  777900
training @ iter =  778000
training @ iter =  778100
training @ iter =  778200
training @ iter =  778300
training @ iter =  778400
training @ iter =  778500
training @ iter =  778600
training @ iter =  778700
training @ iter =  778800
training @ iter =  778900
training @ iter =  779000
training @ iter =  779100
training @ iter =  779200
training @ iter =  779300
training @ iter =  779400
training @ iter =  779500
training @ iter =  779600
training @ iter =  779700
training @ iter =  779800
training @ iter =  779900
training @ iter =  780000
training @ iter =  780100
training @ iter =  780200
training @ iter =  780300
training @ iter =  780400
epoch 223, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  780500
training @ iter =  780600
training @ iter =  780700
training @ iter =  780800
training @ iter =  780900
training @ iter =  781000
training @ iter =  781100
training @ iter =  781200
training @ iter =  781300
training @ iter =  781400
training @ iter =  781500
training @ iter =  781600
training @ iter =  781700
training @ iter =  781800
training @ iter =  781900
training @ iter =  782000
training @ iter =  782100
training @ iter =  782200
training @ iter =  782300
training @ iter =  782400
training @ iter =  782500
training @ iter =  782600
training @ iter =  782700
training @ iter =  782800
training @ iter =  782900
training @ iter =  783000
training @ iter =  783100
training @ iter =  783200
training @ iter =  783300
training @ iter =  783400
training @ iter =  783500
training @ iter =  783600
training @ iter =  783700
training @ iter =  783800
training @ iter =  783900
epoch 224, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  784000
training @ iter =  784100
training @ iter =  784200
training @ iter =  784300
training @ iter =  784400
training @ iter =  784500
training @ iter =  784600
training @ iter =  784700
training @ iter =  784800
training @ iter =  784900
training @ iter =  785000
training @ iter =  785100
training @ iter =  785200
training @ iter =  785300
training @ iter =  785400
training @ iter =  785500
training @ iter =  785600
training @ iter =  785700
training @ iter =  785800
training @ iter =  785900
training @ iter =  786000
training @ iter =  786100
training @ iter =  786200
training @ iter =  786300
training @ iter =  786400
training @ iter =  786500
training @ iter =  786600
training @ iter =  786700
training @ iter =  786800
training @ iter =  786900
training @ iter =  787000
training @ iter =  787100
training @ iter =  787200
training @ iter =  787300
training @ iter =  787400
epoch 225, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  787500
training @ iter =  787600
training @ iter =  787700
training @ iter =  787800
training @ iter =  787900
training @ iter =  788000
training @ iter =  788100
training @ iter =  788200
training @ iter =  788300
training @ iter =  788400
training @ iter =  788500
training @ iter =  788600
training @ iter =  788700
training @ iter =  788800
training @ iter =  788900
training @ iter =  789000
training @ iter =  789100
training @ iter =  789200
training @ iter =  789300
training @ iter =  789400
training @ iter =  789500
training @ iter =  789600
training @ iter =  789700
training @ iter =  789800
training @ iter =  789900
training @ iter =  790000
training @ iter =  790100
training @ iter =  790200
training @ iter =  790300
training @ iter =  790400
training @ iter =  790500
training @ iter =  790600
training @ iter =  790700
training @ iter =  790800
training @ iter =  790900
epoch 226, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  791000
training @ iter =  791100
training @ iter =  791200
training @ iter =  791300
training @ iter =  791400
training @ iter =  791500
training @ iter =  791600
training @ iter =  791700
training @ iter =  791800
training @ iter =  791900
training @ iter =  792000
training @ iter =  792100
training @ iter =  792200
training @ iter =  792300
training @ iter =  792400
training @ iter =  792500
training @ iter =  792600
training @ iter =  792700
training @ iter =  792800
training @ iter =  792900
training @ iter =  793000
training @ iter =  793100
training @ iter =  793200
training @ iter =  793300
training @ iter =  793400
training @ iter =  793500
training @ iter =  793600
training @ iter =  793700
training @ iter =  793800
training @ iter =  793900
training @ iter =  794000
training @ iter =  794100
training @ iter =  794200
training @ iter =  794300
training @ iter =  794400
epoch 227, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  794500
training @ iter =  794600
training @ iter =  794700
training @ iter =  794800
training @ iter =  794900
training @ iter =  795000
training @ iter =  795100
training @ iter =  795200
training @ iter =  795300
training @ iter =  795400
training @ iter =  795500
training @ iter =  795600
training @ iter =  795700
training @ iter =  795800
training @ iter =  795900
training @ iter =  796000
training @ iter =  796100
training @ iter =  796200
training @ iter =  796300
training @ iter =  796400
training @ iter =  796500
training @ iter =  796600
training @ iter =  796700
training @ iter =  796800
training @ iter =  796900
training @ iter =  797000
training @ iter =  797100
training @ iter =  797200
training @ iter =  797300
training @ iter =  797400
training @ iter =  797500
training @ iter =  797600
training @ iter =  797700
training @ iter =  797800
training @ iter =  797900
epoch 228, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  798000
training @ iter =  798100
training @ iter =  798200
training @ iter =  798300
training @ iter =  798400
training @ iter =  798500
training @ iter =  798600
training @ iter =  798700
training @ iter =  798800
training @ iter =  798900
training @ iter =  799000
training @ iter =  799100
training @ iter =  799200
training @ iter =  799300
training @ iter =  799400
training @ iter =  799500
training @ iter =  799600
training @ iter =  799700
training @ iter =  799800
training @ iter =  799900
training @ iter =  800000
training @ iter =  800100
training @ iter =  800200
training @ iter =  800300
training @ iter =  800400
training @ iter =  800500
training @ iter =  800600
training @ iter =  800700
training @ iter =  800800
training @ iter =  800900
training @ iter =  801000
training @ iter =  801100
training @ iter =  801200
training @ iter =  801300
training @ iter =  801400
epoch 229, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  801500
training @ iter =  801600
training @ iter =  801700
training @ iter =  801800
training @ iter =  801900
training @ iter =  802000
training @ iter =  802100
training @ iter =  802200
training @ iter =  802300
training @ iter =  802400
training @ iter =  802500
training @ iter =  802600
training @ iter =  802700
training @ iter =  802800
training @ iter =  802900
training @ iter =  803000
training @ iter =  803100
training @ iter =  803200
training @ iter =  803300
training @ iter =  803400
training @ iter =  803500
training @ iter =  803600
training @ iter =  803700
training @ iter =  803800
training @ iter =  803900
training @ iter =  804000
training @ iter =  804100
training @ iter =  804200
training @ iter =  804300
training @ iter =  804400
training @ iter =  804500
training @ iter =  804600
training @ iter =  804700
training @ iter =  804800
training @ iter =  804900
epoch 230, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  805000
training @ iter =  805100
training @ iter =  805200
training @ iter =  805300
training @ iter =  805400
training @ iter =  805500
training @ iter =  805600
training @ iter =  805700
training @ iter =  805800
training @ iter =  805900
training @ iter =  806000
training @ iter =  806100
training @ iter =  806200
training @ iter =  806300
training @ iter =  806400
training @ iter =  806500
training @ iter =  806600
training @ iter =  806700
training @ iter =  806800
training @ iter =  806900
training @ iter =  807000
training @ iter =  807100
training @ iter =  807200
training @ iter =  807300
training @ iter =  807400
training @ iter =  807500
training @ iter =  807600
training @ iter =  807700
training @ iter =  807800
training @ iter =  807900
training @ iter =  808000
training @ iter =  808100
training @ iter =  808200
training @ iter =  808300
training @ iter =  808400
epoch 231, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  808500
training @ iter =  808600
training @ iter =  808700
training @ iter =  808800
training @ iter =  808900
training @ iter =  809000
training @ iter =  809100
training @ iter =  809200
training @ iter =  809300
training @ iter =  809400
training @ iter =  809500
training @ iter =  809600
training @ iter =  809700
training @ iter =  809800
training @ iter =  809900
training @ iter =  810000
training @ iter =  810100
training @ iter =  810200
training @ iter =  810300
training @ iter =  810400
training @ iter =  810500
training @ iter =  810600
training @ iter =  810700
training @ iter =  810800
training @ iter =  810900
training @ iter =  811000
training @ iter =  811100
training @ iter =  811200
training @ iter =  811300
training @ iter =  811400
training @ iter =  811500
training @ iter =  811600
training @ iter =  811700
training @ iter =  811800
training @ iter =  811900
epoch 232, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  812000
training @ iter =  812100
training @ iter =  812200
training @ iter =  812300
training @ iter =  812400
training @ iter =  812500
training @ iter =  812600
training @ iter =  812700
training @ iter =  812800
training @ iter =  812900
training @ iter =  813000
training @ iter =  813100
training @ iter =  813200
training @ iter =  813300
training @ iter =  813400
training @ iter =  813500
training @ iter =  813600
training @ iter =  813700
training @ iter =  813800
training @ iter =  813900
training @ iter =  814000
training @ iter =  814100
training @ iter =  814200
training @ iter =  814300
training @ iter =  814400
training @ iter =  814500
training @ iter =  814600
training @ iter =  814700
training @ iter =  814800
training @ iter =  814900
training @ iter =  815000
training @ iter =  815100
training @ iter =  815200
training @ iter =  815300
training @ iter =  815400
epoch 233, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  815500
training @ iter =  815600
training @ iter =  815700
training @ iter =  815800
training @ iter =  815900
training @ iter =  816000
training @ iter =  816100
training @ iter =  816200
training @ iter =  816300
training @ iter =  816400
training @ iter =  816500
training @ iter =  816600
training @ iter =  816700
training @ iter =  816800
training @ iter =  816900
training @ iter =  817000
training @ iter =  817100
training @ iter =  817200
training @ iter =  817300
training @ iter =  817400
training @ iter =  817500
training @ iter =  817600
training @ iter =  817700
training @ iter =  817800
training @ iter =  817900
training @ iter =  818000
training @ iter =  818100
training @ iter =  818200
training @ iter =  818300
training @ iter =  818400
training @ iter =  818500
training @ iter =  818600
training @ iter =  818700
training @ iter =  818800
training @ iter =  818900
epoch 234, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  819000
training @ iter =  819100
training @ iter =  819200
training @ iter =  819300
training @ iter =  819400
training @ iter =  819500
training @ iter =  819600
training @ iter =  819700
training @ iter =  819800
training @ iter =  819900
training @ iter =  820000
training @ iter =  820100
training @ iter =  820200
training @ iter =  820300
training @ iter =  820400
training @ iter =  820500
training @ iter =  820600
training @ iter =  820700
training @ iter =  820800
training @ iter =  820900
training @ iter =  821000
training @ iter =  821100
training @ iter =  821200
training @ iter =  821300
training @ iter =  821400
training @ iter =  821500
training @ iter =  821600
training @ iter =  821700
training @ iter =  821800
training @ iter =  821900
training @ iter =  822000
training @ iter =  822100
training @ iter =  822200
training @ iter =  822300
training @ iter =  822400
epoch 235, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  822500
training @ iter =  822600
training @ iter =  822700
training @ iter =  822800
training @ iter =  822900
training @ iter =  823000
training @ iter =  823100
training @ iter =  823200
training @ iter =  823300
training @ iter =  823400
training @ iter =  823500
training @ iter =  823600
training @ iter =  823700
training @ iter =  823800
training @ iter =  823900
training @ iter =  824000
training @ iter =  824100
training @ iter =  824200
training @ iter =  824300
training @ iter =  824400
training @ iter =  824500
training @ iter =  824600
training @ iter =  824700
training @ iter =  824800
training @ iter =  824900
training @ iter =  825000
training @ iter =  825100
training @ iter =  825200
training @ iter =  825300
training @ iter =  825400
training @ iter =  825500
training @ iter =  825600
training @ iter =  825700
training @ iter =  825800
training @ iter =  825900
epoch 236, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  826000
training @ iter =  826100
training @ iter =  826200
training @ iter =  826300
training @ iter =  826400
training @ iter =  826500
training @ iter =  826600
training @ iter =  826700
training @ iter =  826800
training @ iter =  826900
training @ iter =  827000
training @ iter =  827100
training @ iter =  827200
training @ iter =  827300
training @ iter =  827400
training @ iter =  827500
training @ iter =  827600
training @ iter =  827700
training @ iter =  827800
training @ iter =  827900
training @ iter =  828000
training @ iter =  828100
training @ iter =  828200
training @ iter =  828300
training @ iter =  828400
training @ iter =  828500
training @ iter =  828600
training @ iter =  828700
training @ iter =  828800
training @ iter =  828900
training @ iter =  829000
training @ iter =  829100
training @ iter =  829200
training @ iter =  829300
training @ iter =  829400
epoch 237, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  829500
training @ iter =  829600
training @ iter =  829700
training @ iter =  829800
training @ iter =  829900
training @ iter =  830000
training @ iter =  830100
training @ iter =  830200
training @ iter =  830300
training @ iter =  830400
training @ iter =  830500
training @ iter =  830600
training @ iter =  830700
training @ iter =  830800
training @ iter =  830900
training @ iter =  831000
training @ iter =  831100
training @ iter =  831200
training @ iter =  831300
training @ iter =  831400
training @ iter =  831500
training @ iter =  831600
training @ iter =  831700
training @ iter =  831800
training @ iter =  831900
training @ iter =  832000
training @ iter =  832100
training @ iter =  832200
training @ iter =  832300
training @ iter =  832400
training @ iter =  832500
training @ iter =  832600
training @ iter =  832700
training @ iter =  832800
training @ iter =  832900
epoch 238, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  833000
training @ iter =  833100
training @ iter =  833200
training @ iter =  833300
training @ iter =  833400
training @ iter =  833500
training @ iter =  833600
training @ iter =  833700
training @ iter =  833800
training @ iter =  833900
training @ iter =  834000
training @ iter =  834100
training @ iter =  834200
training @ iter =  834300
training @ iter =  834400
training @ iter =  834500
training @ iter =  834600
training @ iter =  834700
training @ iter =  834800
training @ iter =  834900
training @ iter =  835000
training @ iter =  835100
training @ iter =  835200
training @ iter =  835300
training @ iter =  835400
training @ iter =  835500
training @ iter =  835600
training @ iter =  835700
training @ iter =  835800
training @ iter =  835900
training @ iter =  836000
training @ iter =  836100
training @ iter =  836200
training @ iter =  836300
training @ iter =  836400
epoch 239, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  836500
training @ iter =  836600
training @ iter =  836700
training @ iter =  836800
training @ iter =  836900
training @ iter =  837000
training @ iter =  837100
training @ iter =  837200
training @ iter =  837300
training @ iter =  837400
training @ iter =  837500
training @ iter =  837600
training @ iter =  837700
training @ iter =  837800
training @ iter =  837900
training @ iter =  838000
training @ iter =  838100
training @ iter =  838200
training @ iter =  838300
training @ iter =  838400
training @ iter =  838500
training @ iter =  838600
training @ iter =  838700
training @ iter =  838800
training @ iter =  838900
training @ iter =  839000
training @ iter =  839100
training @ iter =  839200
training @ iter =  839300
training @ iter =  839400
training @ iter =  839500
training @ iter =  839600
training @ iter =  839700
training @ iter =  839800
training @ iter =  839900
epoch 240, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  840000
training @ iter =  840100
training @ iter =  840200
training @ iter =  840300
training @ iter =  840400
training @ iter =  840500
training @ iter =  840600
training @ iter =  840700
training @ iter =  840800
training @ iter =  840900
training @ iter =  841000
training @ iter =  841100
training @ iter =  841200
training @ iter =  841300
training @ iter =  841400
training @ iter =  841500
training @ iter =  841600
training @ iter =  841700
training @ iter =  841800
training @ iter =  841900
training @ iter =  842000
training @ iter =  842100
training @ iter =  842200
training @ iter =  842300
training @ iter =  842400
training @ iter =  842500
training @ iter =  842600
training @ iter =  842700
training @ iter =  842800
training @ iter =  842900
training @ iter =  843000
training @ iter =  843100
training @ iter =  843200
training @ iter =  843300
training @ iter =  843400
epoch 241, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  843500
training @ iter =  843600
training @ iter =  843700
training @ iter =  843800
training @ iter =  843900
training @ iter =  844000
training @ iter =  844100
training @ iter =  844200
training @ iter =  844300
training @ iter =  844400
training @ iter =  844500
training @ iter =  844600
training @ iter =  844700
training @ iter =  844800
training @ iter =  844900
training @ iter =  845000
training @ iter =  845100
training @ iter =  845200
training @ iter =  845300
training @ iter =  845400
training @ iter =  845500
training @ iter =  845600
training @ iter =  845700
training @ iter =  845800
training @ iter =  845900
training @ iter =  846000
training @ iter =  846100
training @ iter =  846200
training @ iter =  846300
training @ iter =  846400
training @ iter =  846500
training @ iter =  846600
training @ iter =  846700
training @ iter =  846800
training @ iter =  846900
epoch 242, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  847000
training @ iter =  847100
training @ iter =  847200
training @ iter =  847300
training @ iter =  847400
training @ iter =  847500
training @ iter =  847600
training @ iter =  847700
training @ iter =  847800
training @ iter =  847900
training @ iter =  848000
training @ iter =  848100
training @ iter =  848200
training @ iter =  848300
training @ iter =  848400
training @ iter =  848500
training @ iter =  848600
training @ iter =  848700
training @ iter =  848800
training @ iter =  848900
training @ iter =  849000
training @ iter =  849100
training @ iter =  849200
training @ iter =  849300
training @ iter =  849400
training @ iter =  849500
training @ iter =  849600
training @ iter =  849700
training @ iter =  849800
training @ iter =  849900
training @ iter =  850000
training @ iter =  850100
training @ iter =  850200
training @ iter =  850300
training @ iter =  850400
epoch 243, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  850500
training @ iter =  850600
training @ iter =  850700
training @ iter =  850800
training @ iter =  850900
training @ iter =  851000
training @ iter =  851100
training @ iter =  851200
training @ iter =  851300
training @ iter =  851400
training @ iter =  851500
training @ iter =  851600
training @ iter =  851700
training @ iter =  851800
training @ iter =  851900
training @ iter =  852000
training @ iter =  852100
training @ iter =  852200
training @ iter =  852300
training @ iter =  852400
training @ iter =  852500
training @ iter =  852600
training @ iter =  852700
training @ iter =  852800
training @ iter =  852900
training @ iter =  853000
training @ iter =  853100
training @ iter =  853200
training @ iter =  853300
training @ iter =  853400
training @ iter =  853500
training @ iter =  853600
training @ iter =  853700
training @ iter =  853800
training @ iter =  853900
epoch 244, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  854000
training @ iter =  854100
training @ iter =  854200
training @ iter =  854300
training @ iter =  854400
training @ iter =  854500
training @ iter =  854600
training @ iter =  854700
training @ iter =  854800
training @ iter =  854900
training @ iter =  855000
training @ iter =  855100
training @ iter =  855200
training @ iter =  855300
training @ iter =  855400
training @ iter =  855500
training @ iter =  855600
training @ iter =  855700
training @ iter =  855800
training @ iter =  855900
training @ iter =  856000
training @ iter =  856100
training @ iter =  856200
training @ iter =  856300
training @ iter =  856400
training @ iter =  856500
training @ iter =  856600
training @ iter =  856700
training @ iter =  856800
training @ iter =  856900
training @ iter =  857000
training @ iter =  857100
training @ iter =  857200
training @ iter =  857300
training @ iter =  857400
epoch 245, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  857500
training @ iter =  857600
training @ iter =  857700
training @ iter =  857800
training @ iter =  857900
training @ iter =  858000
training @ iter =  858100
training @ iter =  858200
training @ iter =  858300
training @ iter =  858400
training @ iter =  858500
training @ iter =  858600
training @ iter =  858700
training @ iter =  858800
training @ iter =  858900
training @ iter =  859000
training @ iter =  859100
training @ iter =  859200
training @ iter =  859300
training @ iter =  859400
training @ iter =  859500
training @ iter =  859600
training @ iter =  859700
training @ iter =  859800
training @ iter =  859900
training @ iter =  860000
training @ iter =  860100
training @ iter =  860200
training @ iter =  860300
training @ iter =  860400
training @ iter =  860500
training @ iter =  860600
training @ iter =  860700
training @ iter =  860800
training @ iter =  860900
epoch 246, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  861000
training @ iter =  861100
training @ iter =  861200
training @ iter =  861300
training @ iter =  861400
training @ iter =  861500
training @ iter =  861600
training @ iter =  861700
training @ iter =  861800
training @ iter =  861900
training @ iter =  862000
training @ iter =  862100
training @ iter =  862200
training @ iter =  862300
training @ iter =  862400
training @ iter =  862500
training @ iter =  862600
training @ iter =  862700
training @ iter =  862800
training @ iter =  862900
training @ iter =  863000
training @ iter =  863100
training @ iter =  863200
training @ iter =  863300
training @ iter =  863400
training @ iter =  863500
training @ iter =  863600
training @ iter =  863700
training @ iter =  863800
training @ iter =  863900
training @ iter =  864000
training @ iter =  864100
training @ iter =  864200
training @ iter =  864300
training @ iter =  864400
epoch 247, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  864500
training @ iter =  864600
training @ iter =  864700
training @ iter =  864800
training @ iter =  864900
training @ iter =  865000
training @ iter =  865100
training @ iter =  865200
training @ iter =  865300
training @ iter =  865400
training @ iter =  865500
training @ iter =  865600
training @ iter =  865700
training @ iter =  865800
training @ iter =  865900
training @ iter =  866000
training @ iter =  866100
training @ iter =  866200
training @ iter =  866300
training @ iter =  866400
training @ iter =  866500
training @ iter =  866600
training @ iter =  866700
training @ iter =  866800
training @ iter =  866900
training @ iter =  867000
training @ iter =  867100
training @ iter =  867200
training @ iter =  867300
training @ iter =  867400
training @ iter =  867500
training @ iter =  867600
training @ iter =  867700
training @ iter =  867800
training @ iter =  867900
epoch 248, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  868000
training @ iter =  868100
training @ iter =  868200
training @ iter =  868300
training @ iter =  868400
training @ iter =  868500
training @ iter =  868600
training @ iter =  868700
training @ iter =  868800
training @ iter =  868900
training @ iter =  869000
training @ iter =  869100
training @ iter =  869200
training @ iter =  869300
training @ iter =  869400
training @ iter =  869500
training @ iter =  869600
training @ iter =  869700
training @ iter =  869800
training @ iter =  869900
training @ iter =  870000
training @ iter =  870100
training @ iter =  870200
training @ iter =  870300
training @ iter =  870400
training @ iter =  870500
training @ iter =  870600
training @ iter =  870700
training @ iter =  870800
training @ iter =  870900
training @ iter =  871000
training @ iter =  871100
training @ iter =  871200
training @ iter =  871300
training @ iter =  871400
epoch 249, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  871500
training @ iter =  871600
training @ iter =  871700
training @ iter =  871800
training @ iter =  871900
training @ iter =  872000
training @ iter =  872100
training @ iter =  872200
training @ iter =  872300
training @ iter =  872400
training @ iter =  872500
training @ iter =  872600
training @ iter =  872700
training @ iter =  872800
training @ iter =  872900
training @ iter =  873000
training @ iter =  873100
training @ iter =  873200
training @ iter =  873300
training @ iter =  873400
training @ iter =  873500
training @ iter =  873600
training @ iter =  873700
training @ iter =  873800
training @ iter =  873900
training @ iter =  874000
training @ iter =  874100
training @ iter =  874200
training @ iter =  874300
training @ iter =  874400
training @ iter =  874500
training @ iter =  874600
training @ iter =  874700
training @ iter =  874800
training @ iter =  874900
epoch 250, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  875000
training @ iter =  875100
training @ iter =  875200
training @ iter =  875300
training @ iter =  875400
training @ iter =  875500
training @ iter =  875600
training @ iter =  875700
training @ iter =  875800
training @ iter =  875900
training @ iter =  876000
training @ iter =  876100
training @ iter =  876200
training @ iter =  876300
training @ iter =  876400
training @ iter =  876500
training @ iter =  876600
training @ iter =  876700
training @ iter =  876800
training @ iter =  876900
training @ iter =  877000
training @ iter =  877100
training @ iter =  877200
training @ iter =  877300
training @ iter =  877400
training @ iter =  877500
training @ iter =  877600
training @ iter =  877700
training @ iter =  877800
training @ iter =  877900
training @ iter =  878000
training @ iter =  878100
training @ iter =  878200
training @ iter =  878300
training @ iter =  878400
epoch 251, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  878500
training @ iter =  878600
training @ iter =  878700
training @ iter =  878800
training @ iter =  878900
training @ iter =  879000
training @ iter =  879100
training @ iter =  879200
training @ iter =  879300
training @ iter =  879400
training @ iter =  879500
training @ iter =  879600
training @ iter =  879700
training @ iter =  879800
training @ iter =  879900
training @ iter =  880000
training @ iter =  880100
training @ iter =  880200
training @ iter =  880300
training @ iter =  880400
training @ iter =  880500
training @ iter =  880600
training @ iter =  880700
training @ iter =  880800
training @ iter =  880900
training @ iter =  881000
training @ iter =  881100
training @ iter =  881200
training @ iter =  881300
training @ iter =  881400
training @ iter =  881500
training @ iter =  881600
training @ iter =  881700
training @ iter =  881800
training @ iter =  881900
epoch 252, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  882000
training @ iter =  882100
training @ iter =  882200
training @ iter =  882300
training @ iter =  882400
training @ iter =  882500
training @ iter =  882600
training @ iter =  882700
training @ iter =  882800
training @ iter =  882900
training @ iter =  883000
training @ iter =  883100
training @ iter =  883200
training @ iter =  883300
training @ iter =  883400
training @ iter =  883500
training @ iter =  883600
training @ iter =  883700
training @ iter =  883800
training @ iter =  883900
training @ iter =  884000
training @ iter =  884100
training @ iter =  884200
training @ iter =  884300
training @ iter =  884400
training @ iter =  884500
training @ iter =  884600
training @ iter =  884700
training @ iter =  884800
training @ iter =  884900
training @ iter =  885000
training @ iter =  885100
training @ iter =  885200
training @ iter =  885300
training @ iter =  885400
epoch 253, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  885500
training @ iter =  885600
training @ iter =  885700
training @ iter =  885800
training @ iter =  885900
training @ iter =  886000
training @ iter =  886100
training @ iter =  886200
training @ iter =  886300
training @ iter =  886400
training @ iter =  886500
training @ iter =  886600
training @ iter =  886700
training @ iter =  886800
training @ iter =  886900
training @ iter =  887000
training @ iter =  887100
training @ iter =  887200
training @ iter =  887300
training @ iter =  887400
training @ iter =  887500
training @ iter =  887600
training @ iter =  887700
training @ iter =  887800
training @ iter =  887900
training @ iter =  888000
training @ iter =  888100
training @ iter =  888200
training @ iter =  888300
training @ iter =  888400
training @ iter =  888500
training @ iter =  888600
training @ iter =  888700
training @ iter =  888800
training @ iter =  888900
epoch 254, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  889000
training @ iter =  889100
training @ iter =  889200
training @ iter =  889300
training @ iter =  889400
training @ iter =  889500
training @ iter =  889600
training @ iter =  889700
training @ iter =  889800
training @ iter =  889900
training @ iter =  890000
training @ iter =  890100
training @ iter =  890200
training @ iter =  890300
training @ iter =  890400
training @ iter =  890500
training @ iter =  890600
training @ iter =  890700
training @ iter =  890800
training @ iter =  890900
training @ iter =  891000
training @ iter =  891100
training @ iter =  891200
training @ iter =  891300
training @ iter =  891400
training @ iter =  891500
training @ iter =  891600
training @ iter =  891700
training @ iter =  891800
training @ iter =  891900
training @ iter =  892000
training @ iter =  892100
training @ iter =  892200
training @ iter =  892300
training @ iter =  892400
epoch 255, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  892500
training @ iter =  892600
training @ iter =  892700
training @ iter =  892800
training @ iter =  892900
training @ iter =  893000
training @ iter =  893100
training @ iter =  893200
training @ iter =  893300
training @ iter =  893400
training @ iter =  893500
training @ iter =  893600
training @ iter =  893700
training @ iter =  893800
training @ iter =  893900
training @ iter =  894000
training @ iter =  894100
training @ iter =  894200
training @ iter =  894300
training @ iter =  894400
training @ iter =  894500
training @ iter =  894600
training @ iter =  894700
training @ iter =  894800
training @ iter =  894900
training @ iter =  895000
training @ iter =  895100
training @ iter =  895200
training @ iter =  895300
training @ iter =  895400
training @ iter =  895500
training @ iter =  895600
training @ iter =  895700
training @ iter =  895800
training @ iter =  895900
epoch 256, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  896000
training @ iter =  896100
training @ iter =  896200
training @ iter =  896300
training @ iter =  896400
training @ iter =  896500
training @ iter =  896600
training @ iter =  896700
training @ iter =  896800
training @ iter =  896900
training @ iter =  897000
training @ iter =  897100
training @ iter =  897200
training @ iter =  897300
training @ iter =  897400
training @ iter =  897500
training @ iter =  897600
training @ iter =  897700
training @ iter =  897800
training @ iter =  897900
training @ iter =  898000
training @ iter =  898100
training @ iter =  898200
training @ iter =  898300
training @ iter =  898400
training @ iter =  898500
training @ iter =  898600
training @ iter =  898700
training @ iter =  898800
training @ iter =  898900
training @ iter =  899000
training @ iter =  899100
training @ iter =  899200
training @ iter =  899300
training @ iter =  899400
epoch 257, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  899500
training @ iter =  899600
training @ iter =  899700
training @ iter =  899800
training @ iter =  899900
training @ iter =  900000
training @ iter =  900100
training @ iter =  900200
training @ iter =  900300
training @ iter =  900400
training @ iter =  900500
training @ iter =  900600
training @ iter =  900700
training @ iter =  900800
training @ iter =  900900
training @ iter =  901000
training @ iter =  901100
training @ iter =  901200
training @ iter =  901300
training @ iter =  901400
training @ iter =  901500
training @ iter =  901600
training @ iter =  901700
training @ iter =  901800
training @ iter =  901900
training @ iter =  902000
training @ iter =  902100
training @ iter =  902200
training @ iter =  902300
training @ iter =  902400
training @ iter =  902500
training @ iter =  902600
training @ iter =  902700
training @ iter =  902800
training @ iter =  902900
epoch 258, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  903000
training @ iter =  903100
training @ iter =  903200
training @ iter =  903300
training @ iter =  903400
training @ iter =  903500
training @ iter =  903600
training @ iter =  903700
training @ iter =  903800
training @ iter =  903900
training @ iter =  904000
training @ iter =  904100
training @ iter =  904200
training @ iter =  904300
training @ iter =  904400
training @ iter =  904500
training @ iter =  904600
training @ iter =  904700
training @ iter =  904800
training @ iter =  904900
training @ iter =  905000
training @ iter =  905100
training @ iter =  905200
training @ iter =  905300
training @ iter =  905400
training @ iter =  905500
training @ iter =  905600
training @ iter =  905700
training @ iter =  905800
training @ iter =  905900
training @ iter =  906000
training @ iter =  906100
training @ iter =  906200
training @ iter =  906300
training @ iter =  906400
epoch 259, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  906500
training @ iter =  906600
training @ iter =  906700
training @ iter =  906800
training @ iter =  906900
training @ iter =  907000
training @ iter =  907100
training @ iter =  907200
training @ iter =  907300
training @ iter =  907400
training @ iter =  907500
training @ iter =  907600
training @ iter =  907700
training @ iter =  907800
training @ iter =  907900
training @ iter =  908000
training @ iter =  908100
training @ iter =  908200
training @ iter =  908300
training @ iter =  908400
training @ iter =  908500
training @ iter =  908600
training @ iter =  908700
training @ iter =  908800
training @ iter =  908900
training @ iter =  909000
training @ iter =  909100
training @ iter =  909200
training @ iter =  909300
training @ iter =  909400
training @ iter =  909500
training @ iter =  909600
training @ iter =  909700
training @ iter =  909800
training @ iter =  909900
epoch 260, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  910000
training @ iter =  910100
training @ iter =  910200
training @ iter =  910300
training @ iter =  910400
training @ iter =  910500
training @ iter =  910600
training @ iter =  910700
training @ iter =  910800
training @ iter =  910900
training @ iter =  911000
training @ iter =  911100
training @ iter =  911200
training @ iter =  911300
training @ iter =  911400
training @ iter =  911500
training @ iter =  911600
training @ iter =  911700
training @ iter =  911800
training @ iter =  911900
training @ iter =  912000
training @ iter =  912100
training @ iter =  912200
training @ iter =  912300
training @ iter =  912400
training @ iter =  912500
training @ iter =  912600
training @ iter =  912700
training @ iter =  912800
training @ iter =  912900
training @ iter =  913000
training @ iter =  913100
training @ iter =  913200
training @ iter =  913300
training @ iter =  913400
epoch 261, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  913500
training @ iter =  913600
training @ iter =  913700
training @ iter =  913800
training @ iter =  913900
training @ iter =  914000
training @ iter =  914100
training @ iter =  914200
training @ iter =  914300
training @ iter =  914400
training @ iter =  914500
training @ iter =  914600
training @ iter =  914700
training @ iter =  914800
training @ iter =  914900
training @ iter =  915000
training @ iter =  915100
training @ iter =  915200
training @ iter =  915300
training @ iter =  915400
training @ iter =  915500
training @ iter =  915600
training @ iter =  915700
training @ iter =  915800
training @ iter =  915900
training @ iter =  916000
training @ iter =  916100
training @ iter =  916200
training @ iter =  916300
training @ iter =  916400
training @ iter =  916500
training @ iter =  916600
training @ iter =  916700
training @ iter =  916800
training @ iter =  916900
epoch 262, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  917000
training @ iter =  917100
training @ iter =  917200
training @ iter =  917300
training @ iter =  917400
training @ iter =  917500
training @ iter =  917600
training @ iter =  917700
training @ iter =  917800
training @ iter =  917900
training @ iter =  918000
training @ iter =  918100
training @ iter =  918200
training @ iter =  918300
training @ iter =  918400
training @ iter =  918500
training @ iter =  918600
training @ iter =  918700
training @ iter =  918800
training @ iter =  918900
training @ iter =  919000
training @ iter =  919100
training @ iter =  919200
training @ iter =  919300
training @ iter =  919400
training @ iter =  919500
training @ iter =  919600
training @ iter =  919700
training @ iter =  919800
training @ iter =  919900
training @ iter =  920000
training @ iter =  920100
training @ iter =  920200
training @ iter =  920300
training @ iter =  920400
epoch 263, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  920500
training @ iter =  920600
training @ iter =  920700
training @ iter =  920800
training @ iter =  920900
training @ iter =  921000
training @ iter =  921100
training @ iter =  921200
training @ iter =  921300
training @ iter =  921400
training @ iter =  921500
training @ iter =  921600
training @ iter =  921700
training @ iter =  921800
training @ iter =  921900
training @ iter =  922000
training @ iter =  922100
training @ iter =  922200
training @ iter =  922300
training @ iter =  922400
training @ iter =  922500
training @ iter =  922600
training @ iter =  922700
training @ iter =  922800
training @ iter =  922900
training @ iter =  923000
training @ iter =  923100
training @ iter =  923200
training @ iter =  923300
training @ iter =  923400
training @ iter =  923500
training @ iter =  923600
training @ iter =  923700
training @ iter =  923800
training @ iter =  923900
epoch 264, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  924000
training @ iter =  924100
training @ iter =  924200
training @ iter =  924300
training @ iter =  924400
training @ iter =  924500
training @ iter =  924600
training @ iter =  924700
training @ iter =  924800
training @ iter =  924900
training @ iter =  925000
training @ iter =  925100
training @ iter =  925200
training @ iter =  925300
training @ iter =  925400
training @ iter =  925500
training @ iter =  925600
training @ iter =  925700
training @ iter =  925800
training @ iter =  925900
training @ iter =  926000
training @ iter =  926100
training @ iter =  926200
training @ iter =  926300
training @ iter =  926400
training @ iter =  926500
training @ iter =  926600
training @ iter =  926700
training @ iter =  926800
training @ iter =  926900
training @ iter =  927000
training @ iter =  927100
training @ iter =  927200
training @ iter =  927300
training @ iter =  927400
epoch 265, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  927500
training @ iter =  927600
training @ iter =  927700
training @ iter =  927800
training @ iter =  927900
training @ iter =  928000
training @ iter =  928100
training @ iter =  928200
training @ iter =  928300
training @ iter =  928400
training @ iter =  928500
training @ iter =  928600
training @ iter =  928700
training @ iter =  928800
training @ iter =  928900
training @ iter =  929000
training @ iter =  929100
training @ iter =  929200
training @ iter =  929300
training @ iter =  929400
training @ iter =  929500
training @ iter =  929600
training @ iter =  929700
training @ iter =  929800
training @ iter =  929900
training @ iter =  930000
training @ iter =  930100
training @ iter =  930200
training @ iter =  930300
training @ iter =  930400
training @ iter =  930500
training @ iter =  930600
training @ iter =  930700
training @ iter =  930800
training @ iter =  930900
epoch 266, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  931000
training @ iter =  931100
training @ iter =  931200
training @ iter =  931300
training @ iter =  931400
training @ iter =  931500
training @ iter =  931600
training @ iter =  931700
training @ iter =  931800
training @ iter =  931900
training @ iter =  932000
training @ iter =  932100
training @ iter =  932200
training @ iter =  932300
training @ iter =  932400
training @ iter =  932500
training @ iter =  932600
training @ iter =  932700
training @ iter =  932800
training @ iter =  932900
training @ iter =  933000
training @ iter =  933100
training @ iter =  933200
training @ iter =  933300
training @ iter =  933400
training @ iter =  933500
training @ iter =  933600
training @ iter =  933700
training @ iter =  933800
training @ iter =  933900
training @ iter =  934000
training @ iter =  934100
training @ iter =  934200
training @ iter =  934300
training @ iter =  934400
epoch 267, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  934500
training @ iter =  934600
training @ iter =  934700
training @ iter =  934800
training @ iter =  934900
training @ iter =  935000
training @ iter =  935100
training @ iter =  935200
training @ iter =  935300
training @ iter =  935400
training @ iter =  935500
training @ iter =  935600
training @ iter =  935700
training @ iter =  935800
training @ iter =  935900
training @ iter =  936000
training @ iter =  936100
training @ iter =  936200
training @ iter =  936300
training @ iter =  936400
training @ iter =  936500
training @ iter =  936600
training @ iter =  936700
training @ iter =  936800
training @ iter =  936900
training @ iter =  937000
training @ iter =  937100
training @ iter =  937200
training @ iter =  937300
training @ iter =  937400
training @ iter =  937500
training @ iter =  937600
training @ iter =  937700
training @ iter =  937800
training @ iter =  937900
epoch 268, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  938000
training @ iter =  938100
training @ iter =  938200
training @ iter =  938300
training @ iter =  938400
training @ iter =  938500
training @ iter =  938600
training @ iter =  938700
training @ iter =  938800
training @ iter =  938900
training @ iter =  939000
training @ iter =  939100
training @ iter =  939200
training @ iter =  939300
training @ iter =  939400
training @ iter =  939500
training @ iter =  939600
training @ iter =  939700
training @ iter =  939800
training @ iter =  939900
training @ iter =  940000
training @ iter =  940100
training @ iter =  940200
training @ iter =  940300
training @ iter =  940400
training @ iter =  940500
training @ iter =  940600
training @ iter =  940700
training @ iter =  940800
training @ iter =  940900
training @ iter =  941000
training @ iter =  941100
training @ iter =  941200
training @ iter =  941300
training @ iter =  941400
epoch 269, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  941500
training @ iter =  941600
training @ iter =  941700
training @ iter =  941800
training @ iter =  941900
training @ iter =  942000
training @ iter =  942100
training @ iter =  942200
training @ iter =  942300
training @ iter =  942400
training @ iter =  942500
training @ iter =  942600
training @ iter =  942700
training @ iter =  942800
training @ iter =  942900
training @ iter =  943000
training @ iter =  943100
training @ iter =  943200
training @ iter =  943300
training @ iter =  943400
training @ iter =  943500
training @ iter =  943600
training @ iter =  943700
training @ iter =  943800
training @ iter =  943900
training @ iter =  944000
training @ iter =  944100
training @ iter =  944200
training @ iter =  944300
training @ iter =  944400
training @ iter =  944500
training @ iter =  944600
training @ iter =  944700
training @ iter =  944800
training @ iter =  944900
epoch 270, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  945000
training @ iter =  945100
training @ iter =  945200
training @ iter =  945300
training @ iter =  945400
training @ iter =  945500
training @ iter =  945600
training @ iter =  945700
training @ iter =  945800
training @ iter =  945900
training @ iter =  946000
training @ iter =  946100
training @ iter =  946200
training @ iter =  946300
training @ iter =  946400
training @ iter =  946500
training @ iter =  946600
training @ iter =  946700
training @ iter =  946800
training @ iter =  946900
training @ iter =  947000
training @ iter =  947100
training @ iter =  947200
training @ iter =  947300
training @ iter =  947400
training @ iter =  947500
training @ iter =  947600
training @ iter =  947700
training @ iter =  947800
training @ iter =  947900
training @ iter =  948000
training @ iter =  948100
training @ iter =  948200
training @ iter =  948300
training @ iter =  948400
epoch 271, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  948500
training @ iter =  948600
training @ iter =  948700
training @ iter =  948800
training @ iter =  948900
training @ iter =  949000
training @ iter =  949100
training @ iter =  949200
training @ iter =  949300
training @ iter =  949400
training @ iter =  949500
training @ iter =  949600
training @ iter =  949700
training @ iter =  949800
training @ iter =  949900
training @ iter =  950000
training @ iter =  950100
training @ iter =  950200
training @ iter =  950300
training @ iter =  950400
training @ iter =  950500
training @ iter =  950600
training @ iter =  950700
training @ iter =  950800
training @ iter =  950900
training @ iter =  951000
training @ iter =  951100
training @ iter =  951200
training @ iter =  951300
training @ iter =  951400
training @ iter =  951500
training @ iter =  951600
training @ iter =  951700
training @ iter =  951800
training @ iter =  951900
epoch 272, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  952000
training @ iter =  952100
training @ iter =  952200
training @ iter =  952300
training @ iter =  952400
training @ iter =  952500
training @ iter =  952600
training @ iter =  952700
training @ iter =  952800
training @ iter =  952900
training @ iter =  953000
training @ iter =  953100
training @ iter =  953200
training @ iter =  953300
training @ iter =  953400
training @ iter =  953500
training @ iter =  953600
training @ iter =  953700
training @ iter =  953800
training @ iter =  953900
training @ iter =  954000
training @ iter =  954100
training @ iter =  954200
training @ iter =  954300
training @ iter =  954400
training @ iter =  954500
training @ iter =  954600
training @ iter =  954700
training @ iter =  954800
training @ iter =  954900
training @ iter =  955000
training @ iter =  955100
training @ iter =  955200
training @ iter =  955300
training @ iter =  955400
epoch 273, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  955500
training @ iter =  955600
training @ iter =  955700
training @ iter =  955800
training @ iter =  955900
training @ iter =  956000
training @ iter =  956100
training @ iter =  956200
training @ iter =  956300
training @ iter =  956400
training @ iter =  956500
training @ iter =  956600
training @ iter =  956700
training @ iter =  956800
training @ iter =  956900
training @ iter =  957000
training @ iter =  957100
training @ iter =  957200
training @ iter =  957300
training @ iter =  957400
training @ iter =  957500
training @ iter =  957600
training @ iter =  957700
training @ iter =  957800
training @ iter =  957900
training @ iter =  958000
training @ iter =  958100
training @ iter =  958200
training @ iter =  958300
training @ iter =  958400
training @ iter =  958500
training @ iter =  958600
training @ iter =  958700
training @ iter =  958800
training @ iter =  958900
epoch 274, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  959000
training @ iter =  959100
training @ iter =  959200
training @ iter =  959300
training @ iter =  959400
training @ iter =  959500
training @ iter =  959600
training @ iter =  959700
training @ iter =  959800
training @ iter =  959900
training @ iter =  960000
training @ iter =  960100
training @ iter =  960200
training @ iter =  960300
training @ iter =  960400
training @ iter =  960500
training @ iter =  960600
training @ iter =  960700
training @ iter =  960800
training @ iter =  960900
training @ iter =  961000
training @ iter =  961100
training @ iter =  961200
training @ iter =  961300
training @ iter =  961400
training @ iter =  961500
training @ iter =  961600
training @ iter =  961700
training @ iter =  961800
training @ iter =  961900
training @ iter =  962000
training @ iter =  962100
training @ iter =  962200
training @ iter =  962300
training @ iter =  962400
epoch 275, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  962500
training @ iter =  962600
training @ iter =  962700
training @ iter =  962800
training @ iter =  962900
training @ iter =  963000
training @ iter =  963100
training @ iter =  963200
training @ iter =  963300
training @ iter =  963400
training @ iter =  963500
training @ iter =  963600
training @ iter =  963700
training @ iter =  963800
training @ iter =  963900
training @ iter =  964000
training @ iter =  964100
training @ iter =  964200
training @ iter =  964300
training @ iter =  964400
training @ iter =  964500
training @ iter =  964600
training @ iter =  964700
training @ iter =  964800
training @ iter =  964900
training @ iter =  965000
training @ iter =  965100
training @ iter =  965200
training @ iter =  965300
training @ iter =  965400
training @ iter =  965500
training @ iter =  965600
training @ iter =  965700
training @ iter =  965800
training @ iter =  965900
epoch 276, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  966000
training @ iter =  966100
training @ iter =  966200
training @ iter =  966300
training @ iter =  966400
training @ iter =  966500
training @ iter =  966600
training @ iter =  966700
training @ iter =  966800
training @ iter =  966900
training @ iter =  967000
training @ iter =  967100
training @ iter =  967200
training @ iter =  967300
training @ iter =  967400
training @ iter =  967500
training @ iter =  967600
training @ iter =  967700
training @ iter =  967800
training @ iter =  967900
training @ iter =  968000
training @ iter =  968100
training @ iter =  968200
training @ iter =  968300
training @ iter =  968400
training @ iter =  968500
training @ iter =  968600
training @ iter =  968700
training @ iter =  968800
training @ iter =  968900
training @ iter =  969000
training @ iter =  969100
training @ iter =  969200
training @ iter =  969300
training @ iter =  969400
epoch 277, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  969500
training @ iter =  969600
training @ iter =  969700
training @ iter =  969800
training @ iter =  969900
training @ iter =  970000
training @ iter =  970100
training @ iter =  970200
training @ iter =  970300
training @ iter =  970400
training @ iter =  970500
training @ iter =  970600
training @ iter =  970700
training @ iter =  970800
training @ iter =  970900
training @ iter =  971000
training @ iter =  971100
training @ iter =  971200
training @ iter =  971300
training @ iter =  971400
training @ iter =  971500
training @ iter =  971600
training @ iter =  971700
training @ iter =  971800
training @ iter =  971900
training @ iter =  972000
training @ iter =  972100
training @ iter =  972200
training @ iter =  972300
training @ iter =  972400
training @ iter =  972500
training @ iter =  972600
training @ iter =  972700
training @ iter =  972800
training @ iter =  972900
epoch 278, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  973000
training @ iter =  973100
training @ iter =  973200
training @ iter =  973300
training @ iter =  973400
training @ iter =  973500
training @ iter =  973600
training @ iter =  973700
training @ iter =  973800
training @ iter =  973900
training @ iter =  974000
training @ iter =  974100
training @ iter =  974200
training @ iter =  974300
training @ iter =  974400
training @ iter =  974500
training @ iter =  974600
training @ iter =  974700
training @ iter =  974800
training @ iter =  974900
training @ iter =  975000
training @ iter =  975100
training @ iter =  975200
training @ iter =  975300
training @ iter =  975400
training @ iter =  975500
training @ iter =  975600
training @ iter =  975700
training @ iter =  975800
training @ iter =  975900
training @ iter =  976000
training @ iter =  976100
training @ iter =  976200
training @ iter =  976300
training @ iter =  976400
epoch 279, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  976500
training @ iter =  976600
training @ iter =  976700
training @ iter =  976800
training @ iter =  976900
training @ iter =  977000
training @ iter =  977100
training @ iter =  977200
training @ iter =  977300
training @ iter =  977400
training @ iter =  977500
training @ iter =  977600
training @ iter =  977700
training @ iter =  977800
training @ iter =  977900
training @ iter =  978000
training @ iter =  978100
training @ iter =  978200
training @ iter =  978300
training @ iter =  978400
training @ iter =  978500
training @ iter =  978600
training @ iter =  978700
training @ iter =  978800
training @ iter =  978900
training @ iter =  979000
training @ iter =  979100
training @ iter =  979200
training @ iter =  979300
training @ iter =  979400
training @ iter =  979500
training @ iter =  979600
training @ iter =  979700
training @ iter =  979800
training @ iter =  979900
epoch 280, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  980000
training @ iter =  980100
training @ iter =  980200
training @ iter =  980300
training @ iter =  980400
training @ iter =  980500
training @ iter =  980600
training @ iter =  980700
training @ iter =  980800
training @ iter =  980900
training @ iter =  981000
training @ iter =  981100
training @ iter =  981200
training @ iter =  981300
training @ iter =  981400
training @ iter =  981500
training @ iter =  981600
training @ iter =  981700
training @ iter =  981800
training @ iter =  981900
training @ iter =  982000
training @ iter =  982100
training @ iter =  982200
training @ iter =  982300
training @ iter =  982400
training @ iter =  982500
training @ iter =  982600
training @ iter =  982700
training @ iter =  982800
training @ iter =  982900
training @ iter =  983000
training @ iter =  983100
training @ iter =  983200
training @ iter =  983300
training @ iter =  983400
epoch 281, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  983500
training @ iter =  983600
training @ iter =  983700
training @ iter =  983800
training @ iter =  983900
training @ iter =  984000
training @ iter =  984100
training @ iter =  984200
training @ iter =  984300
training @ iter =  984400
training @ iter =  984500
training @ iter =  984600
training @ iter =  984700
training @ iter =  984800
training @ iter =  984900
training @ iter =  985000
training @ iter =  985100
training @ iter =  985200
training @ iter =  985300
training @ iter =  985400
training @ iter =  985500
training @ iter =  985600
training @ iter =  985700
training @ iter =  985800
training @ iter =  985900
training @ iter =  986000
training @ iter =  986100
training @ iter =  986200
training @ iter =  986300
training @ iter =  986400
training @ iter =  986500
training @ iter =  986600
training @ iter =  986700
training @ iter =  986800
training @ iter =  986900
epoch 282, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  987000
training @ iter =  987100
training @ iter =  987200
training @ iter =  987300
training @ iter =  987400
training @ iter =  987500
training @ iter =  987600
training @ iter =  987700
training @ iter =  987800
training @ iter =  987900
training @ iter =  988000
training @ iter =  988100
training @ iter =  988200
training @ iter =  988300
training @ iter =  988400
training @ iter =  988500
training @ iter =  988600
training @ iter =  988700
training @ iter =  988800
training @ iter =  988900
training @ iter =  989000
training @ iter =  989100
training @ iter =  989200
training @ iter =  989300
training @ iter =  989400
training @ iter =  989500
training @ iter =  989600
training @ iter =  989700
training @ iter =  989800
training @ iter =  989900
training @ iter =  990000
training @ iter =  990100
training @ iter =  990200
training @ iter =  990300
training @ iter =  990400
epoch 283, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  990500
training @ iter =  990600
training @ iter =  990700
training @ iter =  990800
training @ iter =  990900
training @ iter =  991000
training @ iter =  991100
training @ iter =  991200
training @ iter =  991300
training @ iter =  991400
training @ iter =  991500
training @ iter =  991600
training @ iter =  991700
training @ iter =  991800
training @ iter =  991900
training @ iter =  992000
training @ iter =  992100
training @ iter =  992200
training @ iter =  992300
training @ iter =  992400
training @ iter =  992500
training @ iter =  992600
training @ iter =  992700
training @ iter =  992800
training @ iter =  992900
training @ iter =  993000
training @ iter =  993100
training @ iter =  993200
training @ iter =  993300
training @ iter =  993400
training @ iter =  993500
training @ iter =  993600
training @ iter =  993700
training @ iter =  993800
training @ iter =  993900
epoch 284, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  994000
training @ iter =  994100
training @ iter =  994200
training @ iter =  994300
training @ iter =  994400
training @ iter =  994500
training @ iter =  994600
training @ iter =  994700
training @ iter =  994800
training @ iter =  994900
training @ iter =  995000
training @ iter =  995100
training @ iter =  995200
training @ iter =  995300
training @ iter =  995400
training @ iter =  995500
training @ iter =  995600
training @ iter =  995700
training @ iter =  995800
training @ iter =  995900
training @ iter =  996000
training @ iter =  996100
training @ iter =  996200
training @ iter =  996300
training @ iter =  996400
training @ iter =  996500
training @ iter =  996600
training @ iter =  996700
training @ iter =  996800
training @ iter =  996900
training @ iter =  997000
training @ iter =  997100
training @ iter =  997200
training @ iter =  997300
training @ iter =  997400
epoch 285, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  997500
training @ iter =  997600
training @ iter =  997700
training @ iter =  997800
training @ iter =  997900
training @ iter =  998000
training @ iter =  998100
training @ iter =  998200
training @ iter =  998300
training @ iter =  998400
training @ iter =  998500
training @ iter =  998600
training @ iter =  998700
training @ iter =  998800
training @ iter =  998900
training @ iter =  999000
training @ iter =  999100
training @ iter =  999200
training @ iter =  999300
training @ iter =  999400
training @ iter =  999500
training @ iter =  999600
training @ iter =  999700
training @ iter =  999800
training @ iter =  999900
training @ iter =  1000000
training @ iter =  1000100
training @ iter =  1000200
training @ iter =  1000300
training @ iter =  1000400
training @ iter =  1000500
training @ iter =  1000600
training @ iter =  1000700
training @ iter =  1000800
training @ iter =  1000900
epoch 286, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1001000
training @ iter =  1001100
training @ iter =  1001200
training @ iter =  1001300
training @ iter =  1001400
training @ iter =  1001500
training @ iter =  1001600
training @ iter =  1001700
training @ iter =  1001800
training @ iter =  1001900
training @ iter =  1002000
training @ iter =  1002100
training @ iter =  1002200
training @ iter =  1002300
training @ iter =  1002400
training @ iter =  1002500
training @ iter =  1002600
training @ iter =  1002700
training @ iter =  1002800
training @ iter =  1002900
training @ iter =  1003000
training @ iter =  1003100
training @ iter =  1003200
training @ iter =  1003300
training @ iter =  1003400
training @ iter =  1003500
training @ iter =  1003600
training @ iter =  1003700
training @ iter =  1003800
training @ iter =  1003900
training @ iter =  1004000
training @ iter =  1004100
training @ iter =  1004200
training @ iter =  1004300
training @ iter =  1004400
epoch 287, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1004500
training @ iter =  1004600
training @ iter =  1004700
training @ iter =  1004800
training @ iter =  1004900
training @ iter =  1005000
training @ iter =  1005100
training @ iter =  1005200
training @ iter =  1005300
training @ iter =  1005400
training @ iter =  1005500
training @ iter =  1005600
training @ iter =  1005700
training @ iter =  1005800
training @ iter =  1005900
training @ iter =  1006000
training @ iter =  1006100
training @ iter =  1006200
training @ iter =  1006300
training @ iter =  1006400
training @ iter =  1006500
training @ iter =  1006600
training @ iter =  1006700
training @ iter =  1006800
training @ iter =  1006900
training @ iter =  1007000
training @ iter =  1007100
training @ iter =  1007200
training @ iter =  1007300
training @ iter =  1007400
training @ iter =  1007500
training @ iter =  1007600
training @ iter =  1007700
training @ iter =  1007800
training @ iter =  1007900
epoch 288, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1008000
training @ iter =  1008100
training @ iter =  1008200
training @ iter =  1008300
training @ iter =  1008400
training @ iter =  1008500
training @ iter =  1008600
training @ iter =  1008700
training @ iter =  1008800
training @ iter =  1008900
training @ iter =  1009000
training @ iter =  1009100
training @ iter =  1009200
training @ iter =  1009300
training @ iter =  1009400
training @ iter =  1009500
training @ iter =  1009600
training @ iter =  1009700
training @ iter =  1009800
training @ iter =  1009900
training @ iter =  1010000
training @ iter =  1010100
training @ iter =  1010200
training @ iter =  1010300
training @ iter =  1010400
training @ iter =  1010500
training @ iter =  1010600
training @ iter =  1010700
training @ iter =  1010800
training @ iter =  1010900
training @ iter =  1011000
training @ iter =  1011100
training @ iter =  1011200
training @ iter =  1011300
training @ iter =  1011400
epoch 289, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1011500
training @ iter =  1011600
training @ iter =  1011700
training @ iter =  1011800
training @ iter =  1011900
training @ iter =  1012000
training @ iter =  1012100
training @ iter =  1012200
training @ iter =  1012300
training @ iter =  1012400
training @ iter =  1012500
training @ iter =  1012600
training @ iter =  1012700
training @ iter =  1012800
training @ iter =  1012900
training @ iter =  1013000
training @ iter =  1013100
training @ iter =  1013200
training @ iter =  1013300
training @ iter =  1013400
training @ iter =  1013500
training @ iter =  1013600
training @ iter =  1013700
training @ iter =  1013800
training @ iter =  1013900
training @ iter =  1014000
training @ iter =  1014100
training @ iter =  1014200
training @ iter =  1014300
training @ iter =  1014400
training @ iter =  1014500
training @ iter =  1014600
training @ iter =  1014700
training @ iter =  1014800
training @ iter =  1014900
epoch 290, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1015000
training @ iter =  1015100
training @ iter =  1015200
training @ iter =  1015300
training @ iter =  1015400
training @ iter =  1015500
training @ iter =  1015600
training @ iter =  1015700
training @ iter =  1015800
training @ iter =  1015900
training @ iter =  1016000
training @ iter =  1016100
training @ iter =  1016200
training @ iter =  1016300
training @ iter =  1016400
training @ iter =  1016500
training @ iter =  1016600
training @ iter =  1016700
training @ iter =  1016800
training @ iter =  1016900
training @ iter =  1017000
training @ iter =  1017100
training @ iter =  1017200
training @ iter =  1017300
training @ iter =  1017400
training @ iter =  1017500
training @ iter =  1017600
training @ iter =  1017700
training @ iter =  1017800
training @ iter =  1017900
training @ iter =  1018000
training @ iter =  1018100
training @ iter =  1018200
training @ iter =  1018300
training @ iter =  1018400
epoch 291, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1018500
training @ iter =  1018600
training @ iter =  1018700
training @ iter =  1018800
training @ iter =  1018900
training @ iter =  1019000
training @ iter =  1019100
training @ iter =  1019200
training @ iter =  1019300
training @ iter =  1019400
training @ iter =  1019500
training @ iter =  1019600
training @ iter =  1019700
training @ iter =  1019800
training @ iter =  1019900
training @ iter =  1020000
training @ iter =  1020100
training @ iter =  1020200
training @ iter =  1020300
training @ iter =  1020400
training @ iter =  1020500
training @ iter =  1020600
training @ iter =  1020700
training @ iter =  1020800
training @ iter =  1020900
training @ iter =  1021000
training @ iter =  1021100
training @ iter =  1021200
training @ iter =  1021300
training @ iter =  1021400
training @ iter =  1021500
training @ iter =  1021600
training @ iter =  1021700
training @ iter =  1021800
training @ iter =  1021900
epoch 292, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1022000
training @ iter =  1022100
training @ iter =  1022200
training @ iter =  1022300
training @ iter =  1022400
training @ iter =  1022500
training @ iter =  1022600
training @ iter =  1022700
training @ iter =  1022800
training @ iter =  1022900
training @ iter =  1023000
training @ iter =  1023100
training @ iter =  1023200
training @ iter =  1023300
training @ iter =  1023400
training @ iter =  1023500
training @ iter =  1023600
training @ iter =  1023700
training @ iter =  1023800
training @ iter =  1023900
training @ iter =  1024000
training @ iter =  1024100
training @ iter =  1024200
training @ iter =  1024300
training @ iter =  1024400
training @ iter =  1024500
training @ iter =  1024600
training @ iter =  1024700
training @ iter =  1024800
training @ iter =  1024900
training @ iter =  1025000
training @ iter =  1025100
training @ iter =  1025200
training @ iter =  1025300
training @ iter =  1025400
epoch 293, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1025500
training @ iter =  1025600
training @ iter =  1025700
training @ iter =  1025800
training @ iter =  1025900
training @ iter =  1026000
training @ iter =  1026100
training @ iter =  1026200
training @ iter =  1026300
training @ iter =  1026400
training @ iter =  1026500
training @ iter =  1026600
training @ iter =  1026700
training @ iter =  1026800
training @ iter =  1026900
training @ iter =  1027000
training @ iter =  1027100
training @ iter =  1027200
training @ iter =  1027300
training @ iter =  1027400
training @ iter =  1027500
training @ iter =  1027600
training @ iter =  1027700
training @ iter =  1027800
training @ iter =  1027900
training @ iter =  1028000
training @ iter =  1028100
training @ iter =  1028200
training @ iter =  1028300
training @ iter =  1028400
training @ iter =  1028500
training @ iter =  1028600
training @ iter =  1028700
training @ iter =  1028800
training @ iter =  1028900
epoch 294, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1029000
training @ iter =  1029100
training @ iter =  1029200
training @ iter =  1029300
training @ iter =  1029400
training @ iter =  1029500
training @ iter =  1029600
training @ iter =  1029700
training @ iter =  1029800
training @ iter =  1029900
training @ iter =  1030000
training @ iter =  1030100
training @ iter =  1030200
training @ iter =  1030300
training @ iter =  1030400
training @ iter =  1030500
training @ iter =  1030600
training @ iter =  1030700
training @ iter =  1030800
training @ iter =  1030900
training @ iter =  1031000
training @ iter =  1031100
training @ iter =  1031200
training @ iter =  1031300
training @ iter =  1031400
training @ iter =  1031500
training @ iter =  1031600
training @ iter =  1031700
training @ iter =  1031800
training @ iter =  1031900
training @ iter =  1032000
training @ iter =  1032100
training @ iter =  1032200
training @ iter =  1032300
training @ iter =  1032400
epoch 295, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1032500
training @ iter =  1032600
training @ iter =  1032700
training @ iter =  1032800
training @ iter =  1032900
training @ iter =  1033000
training @ iter =  1033100
training @ iter =  1033200
training @ iter =  1033300
training @ iter =  1033400
training @ iter =  1033500
training @ iter =  1033600
training @ iter =  1033700
training @ iter =  1033800
training @ iter =  1033900
training @ iter =  1034000
training @ iter =  1034100
training @ iter =  1034200
training @ iter =  1034300
training @ iter =  1034400
training @ iter =  1034500
training @ iter =  1034600
training @ iter =  1034700
training @ iter =  1034800
training @ iter =  1034900
training @ iter =  1035000
training @ iter =  1035100
training @ iter =  1035200
training @ iter =  1035300
training @ iter =  1035400
training @ iter =  1035500
training @ iter =  1035600
training @ iter =  1035700
training @ iter =  1035800
training @ iter =  1035900
epoch 296, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1036000
training @ iter =  1036100
training @ iter =  1036200
training @ iter =  1036300
training @ iter =  1036400
training @ iter =  1036500
training @ iter =  1036600
training @ iter =  1036700
training @ iter =  1036800
training @ iter =  1036900
training @ iter =  1037000
training @ iter =  1037100
training @ iter =  1037200
training @ iter =  1037300
training @ iter =  1037400
training @ iter =  1037500
training @ iter =  1037600
training @ iter =  1037700
training @ iter =  1037800
training @ iter =  1037900
training @ iter =  1038000
training @ iter =  1038100
training @ iter =  1038200
training @ iter =  1038300
training @ iter =  1038400
training @ iter =  1038500
training @ iter =  1038600
training @ iter =  1038700
training @ iter =  1038800
training @ iter =  1038900
training @ iter =  1039000
training @ iter =  1039100
training @ iter =  1039200
training @ iter =  1039300
training @ iter =  1039400
epoch 297, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1039500
training @ iter =  1039600
training @ iter =  1039700
training @ iter =  1039800
training @ iter =  1039900
training @ iter =  1040000
training @ iter =  1040100
training @ iter =  1040200
training @ iter =  1040300
training @ iter =  1040400
training @ iter =  1040500
training @ iter =  1040600
training @ iter =  1040700
training @ iter =  1040800
training @ iter =  1040900
training @ iter =  1041000
training @ iter =  1041100
training @ iter =  1041200
training @ iter =  1041300
training @ iter =  1041400
training @ iter =  1041500
training @ iter =  1041600
training @ iter =  1041700
training @ iter =  1041800
training @ iter =  1041900
training @ iter =  1042000
training @ iter =  1042100
training @ iter =  1042200
training @ iter =  1042300
training @ iter =  1042400
training @ iter =  1042500
training @ iter =  1042600
training @ iter =  1042700
training @ iter =  1042800
training @ iter =  1042900
epoch 298, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1043000
training @ iter =  1043100
training @ iter =  1043200
training @ iter =  1043300
training @ iter =  1043400
training @ iter =  1043500
training @ iter =  1043600
training @ iter =  1043700
training @ iter =  1043800
training @ iter =  1043900
training @ iter =  1044000
training @ iter =  1044100
training @ iter =  1044200
training @ iter =  1044300
training @ iter =  1044400
training @ iter =  1044500
training @ iter =  1044600
training @ iter =  1044700
training @ iter =  1044800
training @ iter =  1044900
training @ iter =  1045000
training @ iter =  1045100
training @ iter =  1045200
training @ iter =  1045300
training @ iter =  1045400
training @ iter =  1045500
training @ iter =  1045600
training @ iter =  1045700
training @ iter =  1045800
training @ iter =  1045900
training @ iter =  1046000
training @ iter =  1046100
training @ iter =  1046200
training @ iter =  1046300
training @ iter =  1046400
epoch 299, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1046500
training @ iter =  1046600
training @ iter =  1046700
training @ iter =  1046800
training @ iter =  1046900
training @ iter =  1047000
training @ iter =  1047100
training @ iter =  1047200
training @ iter =  1047300
training @ iter =  1047400
training @ iter =  1047500
training @ iter =  1047600
training @ iter =  1047700
training @ iter =  1047800
training @ iter =  1047900
training @ iter =  1048000
training @ iter =  1048100
training @ iter =  1048200
training @ iter =  1048300
training @ iter =  1048400
training @ iter =  1048500
training @ iter =  1048600
training @ iter =  1048700
training @ iter =  1048800
training @ iter =  1048900
training @ iter =  1049000
training @ iter =  1049100
training @ iter =  1049200
training @ iter =  1049300
training @ iter =  1049400
training @ iter =  1049500
training @ iter =  1049600
training @ iter =  1049700
training @ iter =  1049800
training @ iter =  1049900
epoch 300, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1050000
training @ iter =  1050100
training @ iter =  1050200
training @ iter =  1050300
training @ iter =  1050400
training @ iter =  1050500
training @ iter =  1050600
training @ iter =  1050700
training @ iter =  1050800
training @ iter =  1050900
training @ iter =  1051000
training @ iter =  1051100
training @ iter =  1051200
training @ iter =  1051300
training @ iter =  1051400
training @ iter =  1051500
training @ iter =  1051600
training @ iter =  1051700
training @ iter =  1051800
training @ iter =  1051900
training @ iter =  1052000
training @ iter =  1052100
training @ iter =  1052200
training @ iter =  1052300
training @ iter =  1052400
training @ iter =  1052500
training @ iter =  1052600
training @ iter =  1052700
training @ iter =  1052800
training @ iter =  1052900
training @ iter =  1053000
training @ iter =  1053100
training @ iter =  1053200
training @ iter =  1053300
training @ iter =  1053400
epoch 301, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1053500
training @ iter =  1053600
training @ iter =  1053700
training @ iter =  1053800
training @ iter =  1053900
training @ iter =  1054000
training @ iter =  1054100
training @ iter =  1054200
training @ iter =  1054300
training @ iter =  1054400
training @ iter =  1054500
training @ iter =  1054600
training @ iter =  1054700
training @ iter =  1054800
training @ iter =  1054900
training @ iter =  1055000
training @ iter =  1055100
training @ iter =  1055200
training @ iter =  1055300
training @ iter =  1055400
training @ iter =  1055500
training @ iter =  1055600
training @ iter =  1055700
training @ iter =  1055800
training @ iter =  1055900
training @ iter =  1056000
training @ iter =  1056100
training @ iter =  1056200
training @ iter =  1056300
training @ iter =  1056400
training @ iter =  1056500
training @ iter =  1056600
training @ iter =  1056700
training @ iter =  1056800
training @ iter =  1056900
epoch 302, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1057000
training @ iter =  1057100
training @ iter =  1057200
training @ iter =  1057300
training @ iter =  1057400
training @ iter =  1057500
training @ iter =  1057600
training @ iter =  1057700
training @ iter =  1057800
training @ iter =  1057900
training @ iter =  1058000
training @ iter =  1058100
training @ iter =  1058200
training @ iter =  1058300
training @ iter =  1058400
training @ iter =  1058500
training @ iter =  1058600
training @ iter =  1058700
training @ iter =  1058800
training @ iter =  1058900
training @ iter =  1059000
training @ iter =  1059100
training @ iter =  1059200
training @ iter =  1059300
training @ iter =  1059400
training @ iter =  1059500
training @ iter =  1059600
training @ iter =  1059700
training @ iter =  1059800
training @ iter =  1059900
training @ iter =  1060000
training @ iter =  1060100
training @ iter =  1060200
training @ iter =  1060300
training @ iter =  1060400
epoch 303, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1060500
training @ iter =  1060600
training @ iter =  1060700
training @ iter =  1060800
training @ iter =  1060900
training @ iter =  1061000
training @ iter =  1061100
training @ iter =  1061200
training @ iter =  1061300
training @ iter =  1061400
training @ iter =  1061500
training @ iter =  1061600
training @ iter =  1061700
training @ iter =  1061800
training @ iter =  1061900
training @ iter =  1062000
training @ iter =  1062100
training @ iter =  1062200
training @ iter =  1062300
training @ iter =  1062400
training @ iter =  1062500
training @ iter =  1062600
training @ iter =  1062700
training @ iter =  1062800
training @ iter =  1062900
training @ iter =  1063000
training @ iter =  1063100
training @ iter =  1063200
training @ iter =  1063300
training @ iter =  1063400
training @ iter =  1063500
training @ iter =  1063600
training @ iter =  1063700
training @ iter =  1063800
training @ iter =  1063900
epoch 304, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1064000
training @ iter =  1064100
training @ iter =  1064200
training @ iter =  1064300
training @ iter =  1064400
training @ iter =  1064500
training @ iter =  1064600
training @ iter =  1064700
training @ iter =  1064800
training @ iter =  1064900
training @ iter =  1065000
training @ iter =  1065100
training @ iter =  1065200
training @ iter =  1065300
training @ iter =  1065400
training @ iter =  1065500
training @ iter =  1065600
training @ iter =  1065700
training @ iter =  1065800
training @ iter =  1065900
training @ iter =  1066000
training @ iter =  1066100
training @ iter =  1066200
training @ iter =  1066300
training @ iter =  1066400
training @ iter =  1066500
training @ iter =  1066600
training @ iter =  1066700
training @ iter =  1066800
training @ iter =  1066900
training @ iter =  1067000
training @ iter =  1067100
training @ iter =  1067200
training @ iter =  1067300
training @ iter =  1067400
epoch 305, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1067500
training @ iter =  1067600
training @ iter =  1067700
training @ iter =  1067800
training @ iter =  1067900
training @ iter =  1068000
training @ iter =  1068100
training @ iter =  1068200
training @ iter =  1068300
training @ iter =  1068400
training @ iter =  1068500
training @ iter =  1068600
training @ iter =  1068700
training @ iter =  1068800
training @ iter =  1068900
training @ iter =  1069000
training @ iter =  1069100
training @ iter =  1069200
training @ iter =  1069300
training @ iter =  1069400
training @ iter =  1069500
training @ iter =  1069600
training @ iter =  1069700
training @ iter =  1069800
training @ iter =  1069900
training @ iter =  1070000
training @ iter =  1070100
training @ iter =  1070200
training @ iter =  1070300
training @ iter =  1070400
training @ iter =  1070500
training @ iter =  1070600
training @ iter =  1070700
training @ iter =  1070800
training @ iter =  1070900
epoch 306, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1071000
training @ iter =  1071100
training @ iter =  1071200
training @ iter =  1071300
training @ iter =  1071400
training @ iter =  1071500
training @ iter =  1071600
training @ iter =  1071700
training @ iter =  1071800
training @ iter =  1071900
training @ iter =  1072000
training @ iter =  1072100
training @ iter =  1072200
training @ iter =  1072300
training @ iter =  1072400
training @ iter =  1072500
training @ iter =  1072600
training @ iter =  1072700
training @ iter =  1072800
training @ iter =  1072900
training @ iter =  1073000
training @ iter =  1073100
training @ iter =  1073200
training @ iter =  1073300
training @ iter =  1073400
training @ iter =  1073500
training @ iter =  1073600
training @ iter =  1073700
training @ iter =  1073800
training @ iter =  1073900
training @ iter =  1074000
training @ iter =  1074100
training @ iter =  1074200
training @ iter =  1074300
training @ iter =  1074400
epoch 307, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  1074500
training @ iter =  1074600
training @ iter =  1074700
training @ iter =  1074800
training @ iter =  1074900
training @ iter =  1075000
training @ iter =  1075100
training @ iter =  1075200
training @ iter =  1075300
training @ iter =  1075400
training @ iter =  1075500
training @ iter =  1075600
training @ iter =  1075700
training @ iter =  1075800
training @ iter =  1075900
training @ iter =  1076000
training @ iter =  1076100
training @ iter =  1076200
training @ iter =  1076300
training @ iter =  1076400
training @ iter =  1076500
training @ iter =  1076600
training @ iter =  1076700
training @ iter =  1076800
training @ iter =  1076900
training @ iter =  1077000
training @ iter =  1077100
training @ iter =  1077200
training @ iter =  1077300
training @ iter =  1077400
training @ iter =  1077500
training @ iter =  1077600
training @ iter =  1077700
training @ iter =  1077800
training @ iter =  1077900
epoch 308, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1078000
training @ iter =  1078100
training @ iter =  1078200
training @ iter =  1078300
training @ iter =  1078400
training @ iter =  1078500
training @ iter =  1078600
training @ iter =  1078700
training @ iter =  1078800
training @ iter =  1078900
training @ iter =  1079000
training @ iter =  1079100
training @ iter =  1079200
training @ iter =  1079300
training @ iter =  1079400
training @ iter =  1079500
training @ iter =  1079600
training @ iter =  1079700
training @ iter =  1079800
training @ iter =  1079900
training @ iter =  1080000
training @ iter =  1080100
training @ iter =  1080200
training @ iter =  1080300
training @ iter =  1080400
training @ iter =  1080500
training @ iter =  1080600
training @ iter =  1080700
training @ iter =  1080800
training @ iter =  1080900
training @ iter =  1081000
training @ iter =  1081100
training @ iter =  1081200
training @ iter =  1081300
training @ iter =  1081400
epoch 309, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1081500
training @ iter =  1081600
training @ iter =  1081700
training @ iter =  1081800
training @ iter =  1081900
training @ iter =  1082000
training @ iter =  1082100
training @ iter =  1082200
training @ iter =  1082300
training @ iter =  1082400
training @ iter =  1082500
training @ iter =  1082600
training @ iter =  1082700
training @ iter =  1082800
training @ iter =  1082900
training @ iter =  1083000
training @ iter =  1083100
training @ iter =  1083200
training @ iter =  1083300
training @ iter =  1083400
training @ iter =  1083500
training @ iter =  1083600
training @ iter =  1083700
training @ iter =  1083800
training @ iter =  1083900
training @ iter =  1084000
training @ iter =  1084100
training @ iter =  1084200
training @ iter =  1084300
training @ iter =  1084400
training @ iter =  1084500
training @ iter =  1084600
training @ iter =  1084700
training @ iter =  1084800
training @ iter =  1084900
epoch 310, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1085000
training @ iter =  1085100
training @ iter =  1085200
training @ iter =  1085300
training @ iter =  1085400
training @ iter =  1085500
training @ iter =  1085600
training @ iter =  1085700
training @ iter =  1085800
training @ iter =  1085900
training @ iter =  1086000
training @ iter =  1086100
training @ iter =  1086200
training @ iter =  1086300
training @ iter =  1086400
training @ iter =  1086500
training @ iter =  1086600
training @ iter =  1086700
training @ iter =  1086800
training @ iter =  1086900
training @ iter =  1087000
training @ iter =  1087100
training @ iter =  1087200
training @ iter =  1087300
training @ iter =  1087400
training @ iter =  1087500
training @ iter =  1087600
training @ iter =  1087700
training @ iter =  1087800
training @ iter =  1087900
training @ iter =  1088000
training @ iter =  1088100
training @ iter =  1088200
training @ iter =  1088300
training @ iter =  1088400
epoch 311, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1088500
training @ iter =  1088600
training @ iter =  1088700
training @ iter =  1088800
training @ iter =  1088900
training @ iter =  1089000
training @ iter =  1089100
training @ iter =  1089200
training @ iter =  1089300
training @ iter =  1089400
training @ iter =  1089500
training @ iter =  1089600
training @ iter =  1089700
training @ iter =  1089800
training @ iter =  1089900
training @ iter =  1090000
training @ iter =  1090100
training @ iter =  1090200
training @ iter =  1090300
training @ iter =  1090400
training @ iter =  1090500
training @ iter =  1090600
training @ iter =  1090700
training @ iter =  1090800
training @ iter =  1090900
training @ iter =  1091000
training @ iter =  1091100
training @ iter =  1091200
training @ iter =  1091300
training @ iter =  1091400
training @ iter =  1091500
training @ iter =  1091600
training @ iter =  1091700
training @ iter =  1091800
training @ iter =  1091900
epoch 312, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1092000
training @ iter =  1092100
training @ iter =  1092200
training @ iter =  1092300
training @ iter =  1092400
training @ iter =  1092500
training @ iter =  1092600
training @ iter =  1092700
training @ iter =  1092800
training @ iter =  1092900
training @ iter =  1093000
training @ iter =  1093100
training @ iter =  1093200
training @ iter =  1093300
training @ iter =  1093400
training @ iter =  1093500
training @ iter =  1093600
training @ iter =  1093700
training @ iter =  1093800
training @ iter =  1093900
training @ iter =  1094000
training @ iter =  1094100
training @ iter =  1094200
training @ iter =  1094300
training @ iter =  1094400
training @ iter =  1094500
training @ iter =  1094600
training @ iter =  1094700
training @ iter =  1094800
training @ iter =  1094900
training @ iter =  1095000
training @ iter =  1095100
training @ iter =  1095200
training @ iter =  1095300
training @ iter =  1095400
epoch 313, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1095500
training @ iter =  1095600
training @ iter =  1095700
training @ iter =  1095800
training @ iter =  1095900
training @ iter =  1096000
training @ iter =  1096100
training @ iter =  1096200
training @ iter =  1096300
training @ iter =  1096400
training @ iter =  1096500
training @ iter =  1096600
training @ iter =  1096700
training @ iter =  1096800
training @ iter =  1096900
training @ iter =  1097000
training @ iter =  1097100
training @ iter =  1097200
training @ iter =  1097300
training @ iter =  1097400
training @ iter =  1097500
training @ iter =  1097600
training @ iter =  1097700
training @ iter =  1097800
training @ iter =  1097900
training @ iter =  1098000
training @ iter =  1098100
training @ iter =  1098200
training @ iter =  1098300
training @ iter =  1098400
training @ iter =  1098500
training @ iter =  1098600
training @ iter =  1098700
training @ iter =  1098800
training @ iter =  1098900
epoch 314, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1099000
training @ iter =  1099100
training @ iter =  1099200
training @ iter =  1099300
training @ iter =  1099400
training @ iter =  1099500
training @ iter =  1099600
training @ iter =  1099700
training @ iter =  1099800
training @ iter =  1099900
training @ iter =  1100000
training @ iter =  1100100
training @ iter =  1100200
training @ iter =  1100300
training @ iter =  1100400
training @ iter =  1100500
training @ iter =  1100600
training @ iter =  1100700
training @ iter =  1100800
training @ iter =  1100900
training @ iter =  1101000
training @ iter =  1101100
training @ iter =  1101200
training @ iter =  1101300
training @ iter =  1101400
training @ iter =  1101500
training @ iter =  1101600
training @ iter =  1101700
training @ iter =  1101800
training @ iter =  1101900
training @ iter =  1102000
training @ iter =  1102100
training @ iter =  1102200
training @ iter =  1102300
training @ iter =  1102400
epoch 315, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1102500
training @ iter =  1102600
training @ iter =  1102700
training @ iter =  1102800
training @ iter =  1102900
training @ iter =  1103000
training @ iter =  1103100
training @ iter =  1103200
training @ iter =  1103300
training @ iter =  1103400
training @ iter =  1103500
training @ iter =  1103600
training @ iter =  1103700
training @ iter =  1103800
training @ iter =  1103900
training @ iter =  1104000
training @ iter =  1104100
training @ iter =  1104200
training @ iter =  1104300
training @ iter =  1104400
training @ iter =  1104500
training @ iter =  1104600
training @ iter =  1104700
training @ iter =  1104800
training @ iter =  1104900
training @ iter =  1105000
training @ iter =  1105100
training @ iter =  1105200
training @ iter =  1105300
training @ iter =  1105400
training @ iter =  1105500
training @ iter =  1105600
training @ iter =  1105700
training @ iter =  1105800
training @ iter =  1105900
epoch 316, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1106000
training @ iter =  1106100
training @ iter =  1106200
training @ iter =  1106300
training @ iter =  1106400
training @ iter =  1106500
training @ iter =  1106600
training @ iter =  1106700
training @ iter =  1106800
training @ iter =  1106900
training @ iter =  1107000
training @ iter =  1107100
training @ iter =  1107200
training @ iter =  1107300
training @ iter =  1107400
training @ iter =  1107500
training @ iter =  1107600
training @ iter =  1107700
training @ iter =  1107800
training @ iter =  1107900
training @ iter =  1108000
training @ iter =  1108100
training @ iter =  1108200
training @ iter =  1108300
training @ iter =  1108400
training @ iter =  1108500
training @ iter =  1108600
training @ iter =  1108700
training @ iter =  1108800
training @ iter =  1108900
training @ iter =  1109000
training @ iter =  1109100
training @ iter =  1109200
training @ iter =  1109300
training @ iter =  1109400
epoch 317, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1109500
training @ iter =  1109600
training @ iter =  1109700
training @ iter =  1109800
training @ iter =  1109900
training @ iter =  1110000
training @ iter =  1110100
training @ iter =  1110200
training @ iter =  1110300
training @ iter =  1110400
training @ iter =  1110500
training @ iter =  1110600
training @ iter =  1110700
training @ iter =  1110800
training @ iter =  1110900
training @ iter =  1111000
training @ iter =  1111100
training @ iter =  1111200
training @ iter =  1111300
training @ iter =  1111400
training @ iter =  1111500
training @ iter =  1111600
training @ iter =  1111700
training @ iter =  1111800
training @ iter =  1111900
training @ iter =  1112000
training @ iter =  1112100
training @ iter =  1112200
training @ iter =  1112300
training @ iter =  1112400
training @ iter =  1112500
training @ iter =  1112600
training @ iter =  1112700
training @ iter =  1112800
training @ iter =  1112900
epoch 318, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1113000
training @ iter =  1113100
training @ iter =  1113200
training @ iter =  1113300
training @ iter =  1113400
training @ iter =  1113500
training @ iter =  1113600
training @ iter =  1113700
training @ iter =  1113800
training @ iter =  1113900
training @ iter =  1114000
training @ iter =  1114100
training @ iter =  1114200
training @ iter =  1114300
training @ iter =  1114400
training @ iter =  1114500
training @ iter =  1114600
training @ iter =  1114700
training @ iter =  1114800
training @ iter =  1114900
training @ iter =  1115000
training @ iter =  1115100
training @ iter =  1115200
training @ iter =  1115300
training @ iter =  1115400
training @ iter =  1115500
training @ iter =  1115600
training @ iter =  1115700
training @ iter =  1115800
training @ iter =  1115900
training @ iter =  1116000
training @ iter =  1116100
training @ iter =  1116200
training @ iter =  1116300
training @ iter =  1116400
epoch 319, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1116500
training @ iter =  1116600
training @ iter =  1116700
training @ iter =  1116800
training @ iter =  1116900
training @ iter =  1117000
training @ iter =  1117100
training @ iter =  1117200
training @ iter =  1117300
training @ iter =  1117400
training @ iter =  1117500
training @ iter =  1117600
training @ iter =  1117700
training @ iter =  1117800
training @ iter =  1117900
training @ iter =  1118000
training @ iter =  1118100
training @ iter =  1118200
training @ iter =  1118300
training @ iter =  1118400
training @ iter =  1118500
training @ iter =  1118600
training @ iter =  1118700
training @ iter =  1118800
training @ iter =  1118900
training @ iter =  1119000
training @ iter =  1119100
training @ iter =  1119200
training @ iter =  1119300
training @ iter =  1119400
training @ iter =  1119500
training @ iter =  1119600
training @ iter =  1119700
training @ iter =  1119800
training @ iter =  1119900
epoch 320, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1120000
training @ iter =  1120100
training @ iter =  1120200
training @ iter =  1120300
training @ iter =  1120400
training @ iter =  1120500
training @ iter =  1120600
training @ iter =  1120700
training @ iter =  1120800
training @ iter =  1120900
training @ iter =  1121000
training @ iter =  1121100
training @ iter =  1121200
training @ iter =  1121300
training @ iter =  1121400
training @ iter =  1121500
training @ iter =  1121600
training @ iter =  1121700
training @ iter =  1121800
training @ iter =  1121900
training @ iter =  1122000
training @ iter =  1122100
training @ iter =  1122200
training @ iter =  1122300
training @ iter =  1122400
training @ iter =  1122500
training @ iter =  1122600
training @ iter =  1122700
training @ iter =  1122800
training @ iter =  1122900
training @ iter =  1123000
training @ iter =  1123100
training @ iter =  1123200
training @ iter =  1123300
training @ iter =  1123400
epoch 321, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1123500
training @ iter =  1123600
training @ iter =  1123700
training @ iter =  1123800
training @ iter =  1123900
training @ iter =  1124000
training @ iter =  1124100
training @ iter =  1124200
training @ iter =  1124300
training @ iter =  1124400
training @ iter =  1124500
training @ iter =  1124600
training @ iter =  1124700
training @ iter =  1124800
training @ iter =  1124900
training @ iter =  1125000
training @ iter =  1125100
training @ iter =  1125200
training @ iter =  1125300
training @ iter =  1125400
training @ iter =  1125500
training @ iter =  1125600
training @ iter =  1125700
training @ iter =  1125800
training @ iter =  1125900
training @ iter =  1126000
training @ iter =  1126100
training @ iter =  1126200
training @ iter =  1126300
training @ iter =  1126400
training @ iter =  1126500
training @ iter =  1126600
training @ iter =  1126700
training @ iter =  1126800
training @ iter =  1126900
epoch 322, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1127000
training @ iter =  1127100
training @ iter =  1127200
training @ iter =  1127300
training @ iter =  1127400
training @ iter =  1127500
training @ iter =  1127600
training @ iter =  1127700
training @ iter =  1127800
training @ iter =  1127900
training @ iter =  1128000
training @ iter =  1128100
training @ iter =  1128200
training @ iter =  1128300
training @ iter =  1128400
training @ iter =  1128500
training @ iter =  1128600
training @ iter =  1128700
training @ iter =  1128800
training @ iter =  1128900
training @ iter =  1129000
training @ iter =  1129100
training @ iter =  1129200
training @ iter =  1129300
training @ iter =  1129400
training @ iter =  1129500
training @ iter =  1129600
training @ iter =  1129700
training @ iter =  1129800
training @ iter =  1129900
training @ iter =  1130000
training @ iter =  1130100
training @ iter =  1130200
training @ iter =  1130300
training @ iter =  1130400
epoch 323, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1130500
training @ iter =  1130600
training @ iter =  1130700
training @ iter =  1130800
training @ iter =  1130900
training @ iter =  1131000
training @ iter =  1131100
training @ iter =  1131200
training @ iter =  1131300
training @ iter =  1131400
training @ iter =  1131500
training @ iter =  1131600
training @ iter =  1131700
training @ iter =  1131800
training @ iter =  1131900
training @ iter =  1132000
training @ iter =  1132100
training @ iter =  1132200
training @ iter =  1132300
training @ iter =  1132400
training @ iter =  1132500
training @ iter =  1132600
training @ iter =  1132700
training @ iter =  1132800
training @ iter =  1132900
training @ iter =  1133000
training @ iter =  1133100
training @ iter =  1133200
training @ iter =  1133300
training @ iter =  1133400
training @ iter =  1133500
training @ iter =  1133600
training @ iter =  1133700
training @ iter =  1133800
training @ iter =  1133900
epoch 324, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1134000
training @ iter =  1134100
training @ iter =  1134200
training @ iter =  1134300
training @ iter =  1134400
training @ iter =  1134500
training @ iter =  1134600
training @ iter =  1134700
training @ iter =  1134800
training @ iter =  1134900
training @ iter =  1135000
training @ iter =  1135100
training @ iter =  1135200
training @ iter =  1135300
training @ iter =  1135400
training @ iter =  1135500
training @ iter =  1135600
training @ iter =  1135700
training @ iter =  1135800
training @ iter =  1135900
training @ iter =  1136000
training @ iter =  1136100
training @ iter =  1136200
training @ iter =  1136300
training @ iter =  1136400
training @ iter =  1136500
training @ iter =  1136600
training @ iter =  1136700
training @ iter =  1136800
training @ iter =  1136900
training @ iter =  1137000
training @ iter =  1137100
training @ iter =  1137200
training @ iter =  1137300
training @ iter =  1137400
epoch 325, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1137500
training @ iter =  1137600
training @ iter =  1137700
training @ iter =  1137800
training @ iter =  1137900
training @ iter =  1138000
training @ iter =  1138100
training @ iter =  1138200
training @ iter =  1138300
training @ iter =  1138400
training @ iter =  1138500
training @ iter =  1138600
training @ iter =  1138700
training @ iter =  1138800
training @ iter =  1138900
training @ iter =  1139000
training @ iter =  1139100
training @ iter =  1139200
training @ iter =  1139300
training @ iter =  1139400
training @ iter =  1139500
training @ iter =  1139600
training @ iter =  1139700
training @ iter =  1139800
training @ iter =  1139900
training @ iter =  1140000
training @ iter =  1140100
training @ iter =  1140200
training @ iter =  1140300
training @ iter =  1140400
training @ iter =  1140500
training @ iter =  1140600
training @ iter =  1140700
training @ iter =  1140800
training @ iter =  1140900
epoch 326, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1141000
training @ iter =  1141100
training @ iter =  1141200
training @ iter =  1141300
training @ iter =  1141400
training @ iter =  1141500
training @ iter =  1141600
training @ iter =  1141700
training @ iter =  1141800
training @ iter =  1141900
training @ iter =  1142000
training @ iter =  1142100
training @ iter =  1142200
training @ iter =  1142300
training @ iter =  1142400
training @ iter =  1142500
training @ iter =  1142600
training @ iter =  1142700
training @ iter =  1142800
training @ iter =  1142900
training @ iter =  1143000
training @ iter =  1143100
training @ iter =  1143200
training @ iter =  1143300
training @ iter =  1143400
training @ iter =  1143500
training @ iter =  1143600
training @ iter =  1143700
training @ iter =  1143800
training @ iter =  1143900
training @ iter =  1144000
training @ iter =  1144100
training @ iter =  1144200
training @ iter =  1144300
training @ iter =  1144400
epoch 327, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1144500
training @ iter =  1144600
training @ iter =  1144700
training @ iter =  1144800
training @ iter =  1144900
training @ iter =  1145000
training @ iter =  1145100
training @ iter =  1145200
training @ iter =  1145300
training @ iter =  1145400
training @ iter =  1145500
training @ iter =  1145600
training @ iter =  1145700
training @ iter =  1145800
training @ iter =  1145900
training @ iter =  1146000
training @ iter =  1146100
training @ iter =  1146200
training @ iter =  1146300
training @ iter =  1146400
training @ iter =  1146500
training @ iter =  1146600
training @ iter =  1146700
training @ iter =  1146800
training @ iter =  1146900
training @ iter =  1147000
training @ iter =  1147100
training @ iter =  1147200
training @ iter =  1147300
training @ iter =  1147400
training @ iter =  1147500
training @ iter =  1147600
training @ iter =  1147700
training @ iter =  1147800
training @ iter =  1147900
epoch 328, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1148000
training @ iter =  1148100
training @ iter =  1148200
training @ iter =  1148300
training @ iter =  1148400
training @ iter =  1148500
training @ iter =  1148600
training @ iter =  1148700
training @ iter =  1148800
training @ iter =  1148900
training @ iter =  1149000
training @ iter =  1149100
training @ iter =  1149200
training @ iter =  1149300
training @ iter =  1149400
training @ iter =  1149500
training @ iter =  1149600
training @ iter =  1149700
training @ iter =  1149800
training @ iter =  1149900
training @ iter =  1150000
training @ iter =  1150100
training @ iter =  1150200
training @ iter =  1150300
training @ iter =  1150400
training @ iter =  1150500
training @ iter =  1150600
training @ iter =  1150700
training @ iter =  1150800
training @ iter =  1150900
training @ iter =  1151000
training @ iter =  1151100
training @ iter =  1151200
training @ iter =  1151300
training @ iter =  1151400
epoch 329, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1151500
training @ iter =  1151600
training @ iter =  1151700
training @ iter =  1151800
training @ iter =  1151900
training @ iter =  1152000
training @ iter =  1152100
training @ iter =  1152200
training @ iter =  1152300
training @ iter =  1152400
training @ iter =  1152500
training @ iter =  1152600
training @ iter =  1152700
training @ iter =  1152800
training @ iter =  1152900
training @ iter =  1153000
training @ iter =  1153100
training @ iter =  1153200
training @ iter =  1153300
training @ iter =  1153400
training @ iter =  1153500
training @ iter =  1153600
training @ iter =  1153700
training @ iter =  1153800
training @ iter =  1153900
training @ iter =  1154000
training @ iter =  1154100
training @ iter =  1154200
training @ iter =  1154300
training @ iter =  1154400
training @ iter =  1154500
training @ iter =  1154600
training @ iter =  1154700
training @ iter =  1154800
training @ iter =  1154900
epoch 330, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1155000
training @ iter =  1155100
training @ iter =  1155200
training @ iter =  1155300
training @ iter =  1155400
training @ iter =  1155500
training @ iter =  1155600
training @ iter =  1155700
training @ iter =  1155800
training @ iter =  1155900
training @ iter =  1156000
training @ iter =  1156100
training @ iter =  1156200
training @ iter =  1156300
training @ iter =  1156400
training @ iter =  1156500
training @ iter =  1156600
training @ iter =  1156700
training @ iter =  1156800
training @ iter =  1156900
training @ iter =  1157000
training @ iter =  1157100
training @ iter =  1157200
training @ iter =  1157300
training @ iter =  1157400
training @ iter =  1157500
training @ iter =  1157600
training @ iter =  1157700
training @ iter =  1157800
training @ iter =  1157900
training @ iter =  1158000
training @ iter =  1158100
training @ iter =  1158200
training @ iter =  1158300
training @ iter =  1158400
epoch 331, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1158500
training @ iter =  1158600
training @ iter =  1158700
training @ iter =  1158800
training @ iter =  1158900
training @ iter =  1159000
training @ iter =  1159100
training @ iter =  1159200
training @ iter =  1159300
training @ iter =  1159400
training @ iter =  1159500
training @ iter =  1159600
training @ iter =  1159700
training @ iter =  1159800
training @ iter =  1159900
training @ iter =  1160000
training @ iter =  1160100
training @ iter =  1160200
training @ iter =  1160300
training @ iter =  1160400
training @ iter =  1160500
training @ iter =  1160600
training @ iter =  1160700
training @ iter =  1160800
training @ iter =  1160900
training @ iter =  1161000
training @ iter =  1161100
training @ iter =  1161200
training @ iter =  1161300
training @ iter =  1161400
training @ iter =  1161500
training @ iter =  1161600
training @ iter =  1161700
training @ iter =  1161800
training @ iter =  1161900
epoch 332, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1162000
training @ iter =  1162100
training @ iter =  1162200
training @ iter =  1162300
training @ iter =  1162400
training @ iter =  1162500
training @ iter =  1162600
training @ iter =  1162700
training @ iter =  1162800
training @ iter =  1162900
training @ iter =  1163000
training @ iter =  1163100
training @ iter =  1163200
training @ iter =  1163300
training @ iter =  1163400
training @ iter =  1163500
training @ iter =  1163600
training @ iter =  1163700
training @ iter =  1163800
training @ iter =  1163900
training @ iter =  1164000
training @ iter =  1164100
training @ iter =  1164200
training @ iter =  1164300
training @ iter =  1164400
training @ iter =  1164500
training @ iter =  1164600
training @ iter =  1164700
training @ iter =  1164800
training @ iter =  1164900
training @ iter =  1165000
training @ iter =  1165100
training @ iter =  1165200
training @ iter =  1165300
training @ iter =  1165400
epoch 333, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1165500
training @ iter =  1165600
training @ iter =  1165700
training @ iter =  1165800
training @ iter =  1165900
training @ iter =  1166000
training @ iter =  1166100
training @ iter =  1166200
training @ iter =  1166300
training @ iter =  1166400
training @ iter =  1166500
training @ iter =  1166600
training @ iter =  1166700
training @ iter =  1166800
training @ iter =  1166900
training @ iter =  1167000
training @ iter =  1167100
training @ iter =  1167200
training @ iter =  1167300
training @ iter =  1167400
training @ iter =  1167500
training @ iter =  1167600
training @ iter =  1167700
training @ iter =  1167800
training @ iter =  1167900
training @ iter =  1168000
training @ iter =  1168100
training @ iter =  1168200
training @ iter =  1168300
training @ iter =  1168400
training @ iter =  1168500
training @ iter =  1168600
training @ iter =  1168700
training @ iter =  1168800
training @ iter =  1168900
epoch 334, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1169000
training @ iter =  1169100
training @ iter =  1169200
training @ iter =  1169300
training @ iter =  1169400
training @ iter =  1169500
training @ iter =  1169600
training @ iter =  1169700
training @ iter =  1169800
training @ iter =  1169900
training @ iter =  1170000
training @ iter =  1170100
training @ iter =  1170200
training @ iter =  1170300
training @ iter =  1170400
training @ iter =  1170500
training @ iter =  1170600
training @ iter =  1170700
training @ iter =  1170800
training @ iter =  1170900
training @ iter =  1171000
training @ iter =  1171100
training @ iter =  1171200
training @ iter =  1171300
training @ iter =  1171400
training @ iter =  1171500
training @ iter =  1171600
training @ iter =  1171700
training @ iter =  1171800
training @ iter =  1171900
training @ iter =  1172000
training @ iter =  1172100
training @ iter =  1172200
training @ iter =  1172300
training @ iter =  1172400
epoch 335, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1172500
training @ iter =  1172600
training @ iter =  1172700
training @ iter =  1172800
training @ iter =  1172900
training @ iter =  1173000
training @ iter =  1173100
training @ iter =  1173200
training @ iter =  1173300
training @ iter =  1173400
training @ iter =  1173500
training @ iter =  1173600
training @ iter =  1173700
training @ iter =  1173800
training @ iter =  1173900
training @ iter =  1174000
training @ iter =  1174100
training @ iter =  1174200
training @ iter =  1174300
training @ iter =  1174400
training @ iter =  1174500
training @ iter =  1174600
training @ iter =  1174700
training @ iter =  1174800
training @ iter =  1174900
training @ iter =  1175000
training @ iter =  1175100
training @ iter =  1175200
training @ iter =  1175300
training @ iter =  1175400
training @ iter =  1175500
training @ iter =  1175600
training @ iter =  1175700
training @ iter =  1175800
training @ iter =  1175900
epoch 336, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1176000
training @ iter =  1176100
training @ iter =  1176200
training @ iter =  1176300
training @ iter =  1176400
training @ iter =  1176500
training @ iter =  1176600
training @ iter =  1176700
training @ iter =  1176800
training @ iter =  1176900
training @ iter =  1177000
training @ iter =  1177100
training @ iter =  1177200
training @ iter =  1177300
training @ iter =  1177400
training @ iter =  1177500
training @ iter =  1177600
training @ iter =  1177700
training @ iter =  1177800
training @ iter =  1177900
training @ iter =  1178000
training @ iter =  1178100
training @ iter =  1178200
training @ iter =  1178300
training @ iter =  1178400
training @ iter =  1178500
training @ iter =  1178600
training @ iter =  1178700
training @ iter =  1178800
training @ iter =  1178900
training @ iter =  1179000
training @ iter =  1179100
training @ iter =  1179200
training @ iter =  1179300
training @ iter =  1179400
epoch 337, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1179500
training @ iter =  1179600
training @ iter =  1179700
training @ iter =  1179800
training @ iter =  1179900
training @ iter =  1180000
training @ iter =  1180100
training @ iter =  1180200
training @ iter =  1180300
training @ iter =  1180400
training @ iter =  1180500
training @ iter =  1180600
training @ iter =  1180700
training @ iter =  1180800
training @ iter =  1180900
training @ iter =  1181000
training @ iter =  1181100
training @ iter =  1181200
training @ iter =  1181300
training @ iter =  1181400
training @ iter =  1181500
training @ iter =  1181600
training @ iter =  1181700
training @ iter =  1181800
training @ iter =  1181900
training @ iter =  1182000
training @ iter =  1182100
training @ iter =  1182200
training @ iter =  1182300
training @ iter =  1182400
training @ iter =  1182500
training @ iter =  1182600
training @ iter =  1182700
training @ iter =  1182800
training @ iter =  1182900
epoch 338, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1183000
training @ iter =  1183100
training @ iter =  1183200
training @ iter =  1183300
training @ iter =  1183400
training @ iter =  1183500
training @ iter =  1183600
training @ iter =  1183700
training @ iter =  1183800
training @ iter =  1183900
training @ iter =  1184000
training @ iter =  1184100
training @ iter =  1184200
training @ iter =  1184300
training @ iter =  1184400
training @ iter =  1184500
training @ iter =  1184600
training @ iter =  1184700
training @ iter =  1184800
training @ iter =  1184900
training @ iter =  1185000
training @ iter =  1185100
training @ iter =  1185200
training @ iter =  1185300
training @ iter =  1185400
training @ iter =  1185500
training @ iter =  1185600
training @ iter =  1185700
training @ iter =  1185800
training @ iter =  1185900
training @ iter =  1186000
training @ iter =  1186100
training @ iter =  1186200
training @ iter =  1186300
training @ iter =  1186400
epoch 339, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1186500
training @ iter =  1186600
training @ iter =  1186700
training @ iter =  1186800
training @ iter =  1186900
training @ iter =  1187000
training @ iter =  1187100
training @ iter =  1187200
training @ iter =  1187300
training @ iter =  1187400
training @ iter =  1187500
training @ iter =  1187600
training @ iter =  1187700
training @ iter =  1187800
training @ iter =  1187900
training @ iter =  1188000
training @ iter =  1188100
training @ iter =  1188200
training @ iter =  1188300
training @ iter =  1188400
training @ iter =  1188500
training @ iter =  1188600
training @ iter =  1188700
training @ iter =  1188800
training @ iter =  1188900
training @ iter =  1189000
training @ iter =  1189100
training @ iter =  1189200
training @ iter =  1189300
training @ iter =  1189400
training @ iter =  1189500
training @ iter =  1189600
training @ iter =  1189700
training @ iter =  1189800
training @ iter =  1189900
epoch 340, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1190000
training @ iter =  1190100
training @ iter =  1190200
training @ iter =  1190300
training @ iter =  1190400
training @ iter =  1190500
training @ iter =  1190600
training @ iter =  1190700
training @ iter =  1190800
training @ iter =  1190900
training @ iter =  1191000
training @ iter =  1191100
training @ iter =  1191200
training @ iter =  1191300
training @ iter =  1191400
training @ iter =  1191500
training @ iter =  1191600
training @ iter =  1191700
training @ iter =  1191800
training @ iter =  1191900
training @ iter =  1192000
training @ iter =  1192100
training @ iter =  1192200
training @ iter =  1192300
training @ iter =  1192400
training @ iter =  1192500
training @ iter =  1192600
training @ iter =  1192700
training @ iter =  1192800
training @ iter =  1192900
training @ iter =  1193000
training @ iter =  1193100
training @ iter =  1193200
training @ iter =  1193300
training @ iter =  1193400
epoch 341, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1193500
training @ iter =  1193600
training @ iter =  1193700
training @ iter =  1193800
training @ iter =  1193900
training @ iter =  1194000
training @ iter =  1194100
training @ iter =  1194200
training @ iter =  1194300
training @ iter =  1194400
training @ iter =  1194500
training @ iter =  1194600
training @ iter =  1194700
training @ iter =  1194800
training @ iter =  1194900
training @ iter =  1195000
training @ iter =  1195100
training @ iter =  1195200
training @ iter =  1195300
training @ iter =  1195400
training @ iter =  1195500
training @ iter =  1195600
training @ iter =  1195700
training @ iter =  1195800
training @ iter =  1195900
training @ iter =  1196000
training @ iter =  1196100
training @ iter =  1196200
training @ iter =  1196300
training @ iter =  1196400
training @ iter =  1196500
training @ iter =  1196600
training @ iter =  1196700
training @ iter =  1196800
training @ iter =  1196900
epoch 342, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1197000
training @ iter =  1197100
training @ iter =  1197200
training @ iter =  1197300
training @ iter =  1197400
training @ iter =  1197500
training @ iter =  1197600
training @ iter =  1197700
training @ iter =  1197800
training @ iter =  1197900
training @ iter =  1198000
training @ iter =  1198100
training @ iter =  1198200
training @ iter =  1198300
training @ iter =  1198400
training @ iter =  1198500
training @ iter =  1198600
training @ iter =  1198700
training @ iter =  1198800
training @ iter =  1198900
training @ iter =  1199000
training @ iter =  1199100
training @ iter =  1199200
training @ iter =  1199300
training @ iter =  1199400
training @ iter =  1199500
training @ iter =  1199600
training @ iter =  1199700
training @ iter =  1199800
training @ iter =  1199900
training @ iter =  1200000
training @ iter =  1200100
training @ iter =  1200200
training @ iter =  1200300
training @ iter =  1200400
epoch 343, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1200500
training @ iter =  1200600
training @ iter =  1200700
training @ iter =  1200800
training @ iter =  1200900
training @ iter =  1201000
training @ iter =  1201100
training @ iter =  1201200
training @ iter =  1201300
training @ iter =  1201400
training @ iter =  1201500
training @ iter =  1201600
training @ iter =  1201700
training @ iter =  1201800
training @ iter =  1201900
training @ iter =  1202000
training @ iter =  1202100
training @ iter =  1202200
training @ iter =  1202300
training @ iter =  1202400
training @ iter =  1202500
training @ iter =  1202600
training @ iter =  1202700
training @ iter =  1202800
training @ iter =  1202900
training @ iter =  1203000
training @ iter =  1203100
training @ iter =  1203200
training @ iter =  1203300
training @ iter =  1203400
training @ iter =  1203500
training @ iter =  1203600
training @ iter =  1203700
training @ iter =  1203800
training @ iter =  1203900
epoch 344, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1204000
training @ iter =  1204100
training @ iter =  1204200
training @ iter =  1204300
training @ iter =  1204400
training @ iter =  1204500
training @ iter =  1204600
training @ iter =  1204700
training @ iter =  1204800
training @ iter =  1204900
training @ iter =  1205000
training @ iter =  1205100
training @ iter =  1205200
training @ iter =  1205300
training @ iter =  1205400
training @ iter =  1205500
training @ iter =  1205600
training @ iter =  1205700
training @ iter =  1205800
training @ iter =  1205900
training @ iter =  1206000
training @ iter =  1206100
training @ iter =  1206200
training @ iter =  1206300
training @ iter =  1206400
training @ iter =  1206500
training @ iter =  1206600
training @ iter =  1206700
training @ iter =  1206800
training @ iter =  1206900
training @ iter =  1207000
training @ iter =  1207100
training @ iter =  1207200
training @ iter =  1207300
training @ iter =  1207400
epoch 345, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1207500
training @ iter =  1207600
training @ iter =  1207700
training @ iter =  1207800
training @ iter =  1207900
training @ iter =  1208000
training @ iter =  1208100
training @ iter =  1208200
training @ iter =  1208300
training @ iter =  1208400
training @ iter =  1208500
training @ iter =  1208600
training @ iter =  1208700
training @ iter =  1208800
training @ iter =  1208900
training @ iter =  1209000
training @ iter =  1209100
training @ iter =  1209200
training @ iter =  1209300
training @ iter =  1209400
training @ iter =  1209500
training @ iter =  1209600
training @ iter =  1209700
training @ iter =  1209800
training @ iter =  1209900
training @ iter =  1210000
training @ iter =  1210100
training @ iter =  1210200
training @ iter =  1210300
training @ iter =  1210400
training @ iter =  1210500
training @ iter =  1210600
training @ iter =  1210700
training @ iter =  1210800
training @ iter =  1210900
epoch 346, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1211000
training @ iter =  1211100
training @ iter =  1211200
training @ iter =  1211300
training @ iter =  1211400
training @ iter =  1211500
training @ iter =  1211600
training @ iter =  1211700
training @ iter =  1211800
training @ iter =  1211900
training @ iter =  1212000
training @ iter =  1212100
training @ iter =  1212200
training @ iter =  1212300
training @ iter =  1212400
training @ iter =  1212500
training @ iter =  1212600
training @ iter =  1212700
training @ iter =  1212800
training @ iter =  1212900
training @ iter =  1213000
training @ iter =  1213100
training @ iter =  1213200
training @ iter =  1213300
training @ iter =  1213400
training @ iter =  1213500
training @ iter =  1213600
training @ iter =  1213700
training @ iter =  1213800
training @ iter =  1213900
training @ iter =  1214000
training @ iter =  1214100
training @ iter =  1214200
training @ iter =  1214300
training @ iter =  1214400
epoch 347, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1214500
training @ iter =  1214600
training @ iter =  1214700
training @ iter =  1214800
training @ iter =  1214900
training @ iter =  1215000
training @ iter =  1215100
training @ iter =  1215200
training @ iter =  1215300
training @ iter =  1215400
training @ iter =  1215500
training @ iter =  1215600
training @ iter =  1215700
training @ iter =  1215800
training @ iter =  1215900
training @ iter =  1216000
training @ iter =  1216100
training @ iter =  1216200
training @ iter =  1216300
training @ iter =  1216400
training @ iter =  1216500
training @ iter =  1216600
training @ iter =  1216700
training @ iter =  1216800
training @ iter =  1216900
training @ iter =  1217000
training @ iter =  1217100
training @ iter =  1217200
training @ iter =  1217300
training @ iter =  1217400
training @ iter =  1217500
training @ iter =  1217600
training @ iter =  1217700
training @ iter =  1217800
training @ iter =  1217900
epoch 348, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1218000
training @ iter =  1218100
training @ iter =  1218200
training @ iter =  1218300
training @ iter =  1218400
training @ iter =  1218500
training @ iter =  1218600
training @ iter =  1218700
training @ iter =  1218800
training @ iter =  1218900
training @ iter =  1219000
training @ iter =  1219100
training @ iter =  1219200
training @ iter =  1219300
training @ iter =  1219400
training @ iter =  1219500
training @ iter =  1219600
training @ iter =  1219700
training @ iter =  1219800
training @ iter =  1219900
training @ iter =  1220000
training @ iter =  1220100
training @ iter =  1220200
training @ iter =  1220300
training @ iter =  1220400
training @ iter =  1220500
training @ iter =  1220600
training @ iter =  1220700
training @ iter =  1220800
training @ iter =  1220900
training @ iter =  1221000
training @ iter =  1221100
training @ iter =  1221200
training @ iter =  1221300
training @ iter =  1221400
epoch 349, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1221500
training @ iter =  1221600
training @ iter =  1221700
training @ iter =  1221800
training @ iter =  1221900
training @ iter =  1222000
training @ iter =  1222100
training @ iter =  1222200
training @ iter =  1222300
training @ iter =  1222400
training @ iter =  1222500
training @ iter =  1222600
training @ iter =  1222700
training @ iter =  1222800
training @ iter =  1222900
training @ iter =  1223000
training @ iter =  1223100
training @ iter =  1223200
training @ iter =  1223300
training @ iter =  1223400
training @ iter =  1223500
training @ iter =  1223600
training @ iter =  1223700
training @ iter =  1223800
training @ iter =  1223900
training @ iter =  1224000
training @ iter =  1224100
training @ iter =  1224200
training @ iter =  1224300
training @ iter =  1224400
training @ iter =  1224500
training @ iter =  1224600
training @ iter =  1224700
training @ iter =  1224800
training @ iter =  1224900
epoch 350, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1225000
training @ iter =  1225100
training @ iter =  1225200
training @ iter =  1225300
training @ iter =  1225400
training @ iter =  1225500
training @ iter =  1225600
training @ iter =  1225700
training @ iter =  1225800
training @ iter =  1225900
training @ iter =  1226000
training @ iter =  1226100
training @ iter =  1226200
training @ iter =  1226300
training @ iter =  1226400
training @ iter =  1226500
training @ iter =  1226600
training @ iter =  1226700
training @ iter =  1226800
training @ iter =  1226900
training @ iter =  1227000
training @ iter =  1227100
training @ iter =  1227200
training @ iter =  1227300
training @ iter =  1227400
training @ iter =  1227500
training @ iter =  1227600
training @ iter =  1227700
training @ iter =  1227800
training @ iter =  1227900
training @ iter =  1228000
training @ iter =  1228100
training @ iter =  1228200
training @ iter =  1228300
training @ iter =  1228400
epoch 351, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1228500
training @ iter =  1228600
training @ iter =  1228700
training @ iter =  1228800
training @ iter =  1228900
training @ iter =  1229000
training @ iter =  1229100
training @ iter =  1229200
training @ iter =  1229300
training @ iter =  1229400
training @ iter =  1229500
training @ iter =  1229600
training @ iter =  1229700
training @ iter =  1229800
training @ iter =  1229900
training @ iter =  1230000
training @ iter =  1230100
training @ iter =  1230200
training @ iter =  1230300
training @ iter =  1230400
training @ iter =  1230500
training @ iter =  1230600
training @ iter =  1230700
training @ iter =  1230800
training @ iter =  1230900
training @ iter =  1231000
training @ iter =  1231100
training @ iter =  1231200
training @ iter =  1231300
training @ iter =  1231400
training @ iter =  1231500
training @ iter =  1231600
training @ iter =  1231700
training @ iter =  1231800
training @ iter =  1231900
epoch 352, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1232000
training @ iter =  1232100
training @ iter =  1232200
training @ iter =  1232300
training @ iter =  1232400
training @ iter =  1232500
training @ iter =  1232600
training @ iter =  1232700
training @ iter =  1232800
training @ iter =  1232900
training @ iter =  1233000
training @ iter =  1233100
training @ iter =  1233200
training @ iter =  1233300
training @ iter =  1233400
training @ iter =  1233500
training @ iter =  1233600
training @ iter =  1233700
training @ iter =  1233800
training @ iter =  1233900
training @ iter =  1234000
training @ iter =  1234100
training @ iter =  1234200
training @ iter =  1234300
training @ iter =  1234400
training @ iter =  1234500
training @ iter =  1234600
training @ iter =  1234700
training @ iter =  1234800
training @ iter =  1234900
training @ iter =  1235000
training @ iter =  1235100
training @ iter =  1235200
training @ iter =  1235300
training @ iter =  1235400
epoch 353, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1235500
training @ iter =  1235600
training @ iter =  1235700
training @ iter =  1235800
training @ iter =  1235900
training @ iter =  1236000
training @ iter =  1236100
training @ iter =  1236200
training @ iter =  1236300
training @ iter =  1236400
training @ iter =  1236500
training @ iter =  1236600
training @ iter =  1236700
training @ iter =  1236800
training @ iter =  1236900
training @ iter =  1237000
training @ iter =  1237100
training @ iter =  1237200
training @ iter =  1237300
training @ iter =  1237400
training @ iter =  1237500
training @ iter =  1237600
training @ iter =  1237700
training @ iter =  1237800
training @ iter =  1237900
training @ iter =  1238000
training @ iter =  1238100
training @ iter =  1238200
training @ iter =  1238300
training @ iter =  1238400
training @ iter =  1238500
training @ iter =  1238600
training @ iter =  1238700
training @ iter =  1238800
training @ iter =  1238900
epoch 354, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1239000
training @ iter =  1239100
training @ iter =  1239200
training @ iter =  1239300
training @ iter =  1239400
training @ iter =  1239500
training @ iter =  1239600
training @ iter =  1239700
training @ iter =  1239800
training @ iter =  1239900
training @ iter =  1240000
training @ iter =  1240100
training @ iter =  1240200
training @ iter =  1240300
training @ iter =  1240400
training @ iter =  1240500
training @ iter =  1240600
training @ iter =  1240700
training @ iter =  1240800
training @ iter =  1240900
training @ iter =  1241000
training @ iter =  1241100
training @ iter =  1241200
training @ iter =  1241300
training @ iter =  1241400
training @ iter =  1241500
training @ iter =  1241600
training @ iter =  1241700
training @ iter =  1241800
training @ iter =  1241900
training @ iter =  1242000
training @ iter =  1242100
training @ iter =  1242200
training @ iter =  1242300
training @ iter =  1242400
epoch 355, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1242500
training @ iter =  1242600
training @ iter =  1242700
training @ iter =  1242800
training @ iter =  1242900
training @ iter =  1243000
training @ iter =  1243100
training @ iter =  1243200
training @ iter =  1243300
training @ iter =  1243400
training @ iter =  1243500
training @ iter =  1243600
training @ iter =  1243700
training @ iter =  1243800
training @ iter =  1243900
training @ iter =  1244000
training @ iter =  1244100
training @ iter =  1244200
training @ iter =  1244300
training @ iter =  1244400
training @ iter =  1244500
training @ iter =  1244600
training @ iter =  1244700
training @ iter =  1244800
training @ iter =  1244900
training @ iter =  1245000
training @ iter =  1245100
training @ iter =  1245200
training @ iter =  1245300
training @ iter =  1245400
training @ iter =  1245500
training @ iter =  1245600
training @ iter =  1245700
training @ iter =  1245800
training @ iter =  1245900
epoch 356, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1246000
training @ iter =  1246100
training @ iter =  1246200
training @ iter =  1246300
training @ iter =  1246400
training @ iter =  1246500
training @ iter =  1246600
training @ iter =  1246700
training @ iter =  1246800
training @ iter =  1246900
training @ iter =  1247000
training @ iter =  1247100
training @ iter =  1247200
training @ iter =  1247300
training @ iter =  1247400
training @ iter =  1247500
training @ iter =  1247600
training @ iter =  1247700
training @ iter =  1247800
training @ iter =  1247900
training @ iter =  1248000
training @ iter =  1248100
training @ iter =  1248200
training @ iter =  1248300
training @ iter =  1248400
training @ iter =  1248500
training @ iter =  1248600
training @ iter =  1248700
training @ iter =  1248800
training @ iter =  1248900
training @ iter =  1249000
training @ iter =  1249100
training @ iter =  1249200
training @ iter =  1249300
training @ iter =  1249400
epoch 357, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1249500
training @ iter =  1249600
training @ iter =  1249700
training @ iter =  1249800
training @ iter =  1249900
training @ iter =  1250000
training @ iter =  1250100
training @ iter =  1250200
training @ iter =  1250300
training @ iter =  1250400
training @ iter =  1250500
training @ iter =  1250600
training @ iter =  1250700
training @ iter =  1250800
training @ iter =  1250900
training @ iter =  1251000
training @ iter =  1251100
training @ iter =  1251200
training @ iter =  1251300
training @ iter =  1251400
training @ iter =  1251500
training @ iter =  1251600
training @ iter =  1251700
training @ iter =  1251800
training @ iter =  1251900
training @ iter =  1252000
training @ iter =  1252100
training @ iter =  1252200
training @ iter =  1252300
training @ iter =  1252400
training @ iter =  1252500
training @ iter =  1252600
training @ iter =  1252700
training @ iter =  1252800
training @ iter =  1252900
epoch 358, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1253000
training @ iter =  1253100
training @ iter =  1253200
training @ iter =  1253300
training @ iter =  1253400
training @ iter =  1253500
training @ iter =  1253600
training @ iter =  1253700
training @ iter =  1253800
training @ iter =  1253900
training @ iter =  1254000
training @ iter =  1254100
training @ iter =  1254200
training @ iter =  1254300
training @ iter =  1254400
training @ iter =  1254500
training @ iter =  1254600
training @ iter =  1254700
training @ iter =  1254800
training @ iter =  1254900
training @ iter =  1255000
training @ iter =  1255100
training @ iter =  1255200
training @ iter =  1255300
training @ iter =  1255400
training @ iter =  1255500
training @ iter =  1255600
training @ iter =  1255700
training @ iter =  1255800
training @ iter =  1255900
training @ iter =  1256000
training @ iter =  1256100
training @ iter =  1256200
training @ iter =  1256300
training @ iter =  1256400
epoch 359, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1256500
training @ iter =  1256600
training @ iter =  1256700
training @ iter =  1256800
training @ iter =  1256900
training @ iter =  1257000
training @ iter =  1257100
training @ iter =  1257200
training @ iter =  1257300
training @ iter =  1257400
training @ iter =  1257500
training @ iter =  1257600
training @ iter =  1257700
training @ iter =  1257800
training @ iter =  1257900
training @ iter =  1258000
training @ iter =  1258100
training @ iter =  1258200
training @ iter =  1258300
training @ iter =  1258400
training @ iter =  1258500
training @ iter =  1258600
training @ iter =  1258700
training @ iter =  1258800
training @ iter =  1258900
training @ iter =  1259000
training @ iter =  1259100
training @ iter =  1259200
training @ iter =  1259300
training @ iter =  1259400
training @ iter =  1259500
training @ iter =  1259600
training @ iter =  1259700
training @ iter =  1259800
training @ iter =  1259900
epoch 360, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1260000
training @ iter =  1260100
training @ iter =  1260200
training @ iter =  1260300
training @ iter =  1260400
training @ iter =  1260500
training @ iter =  1260600
training @ iter =  1260700
training @ iter =  1260800
training @ iter =  1260900
training @ iter =  1261000
training @ iter =  1261100
training @ iter =  1261200
training @ iter =  1261300
training @ iter =  1261400
training @ iter =  1261500
training @ iter =  1261600
training @ iter =  1261700
training @ iter =  1261800
training @ iter =  1261900
training @ iter =  1262000
training @ iter =  1262100
training @ iter =  1262200
training @ iter =  1262300
training @ iter =  1262400
training @ iter =  1262500
training @ iter =  1262600
training @ iter =  1262700
training @ iter =  1262800
training @ iter =  1262900
training @ iter =  1263000
training @ iter =  1263100
training @ iter =  1263200
training @ iter =  1263300
training @ iter =  1263400
epoch 361, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1263500
training @ iter =  1263600
training @ iter =  1263700
training @ iter =  1263800
training @ iter =  1263900
training @ iter =  1264000
training @ iter =  1264100
training @ iter =  1264200
training @ iter =  1264300
training @ iter =  1264400
training @ iter =  1264500
training @ iter =  1264600
training @ iter =  1264700
training @ iter =  1264800
training @ iter =  1264900
training @ iter =  1265000
training @ iter =  1265100
training @ iter =  1265200
training @ iter =  1265300
training @ iter =  1265400
training @ iter =  1265500
training @ iter =  1265600
training @ iter =  1265700
training @ iter =  1265800
training @ iter =  1265900
training @ iter =  1266000
training @ iter =  1266100
training @ iter =  1266200
training @ iter =  1266300
training @ iter =  1266400
training @ iter =  1266500
training @ iter =  1266600
training @ iter =  1266700
training @ iter =  1266800
training @ iter =  1266900
epoch 362, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1267000
training @ iter =  1267100
training @ iter =  1267200
training @ iter =  1267300
training @ iter =  1267400
training @ iter =  1267500
training @ iter =  1267600
training @ iter =  1267700
training @ iter =  1267800
training @ iter =  1267900
training @ iter =  1268000
training @ iter =  1268100
training @ iter =  1268200
training @ iter =  1268300
training @ iter =  1268400
training @ iter =  1268500
training @ iter =  1268600
training @ iter =  1268700
training @ iter =  1268800
training @ iter =  1268900
training @ iter =  1269000
training @ iter =  1269100
training @ iter =  1269200
training @ iter =  1269300
training @ iter =  1269400
training @ iter =  1269500
training @ iter =  1269600
training @ iter =  1269700
training @ iter =  1269800
training @ iter =  1269900
training @ iter =  1270000
training @ iter =  1270100
training @ iter =  1270200
training @ iter =  1270300
training @ iter =  1270400
epoch 363, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1270500
training @ iter =  1270600
training @ iter =  1270700
training @ iter =  1270800
training @ iter =  1270900
training @ iter =  1271000
training @ iter =  1271100
training @ iter =  1271200
training @ iter =  1271300
training @ iter =  1271400
training @ iter =  1271500
training @ iter =  1271600
training @ iter =  1271700
training @ iter =  1271800
training @ iter =  1271900
training @ iter =  1272000
training @ iter =  1272100
training @ iter =  1272200
training @ iter =  1272300
training @ iter =  1272400
training @ iter =  1272500
training @ iter =  1272600
training @ iter =  1272700
training @ iter =  1272800
training @ iter =  1272900
training @ iter =  1273000
training @ iter =  1273100
training @ iter =  1273200
training @ iter =  1273300
training @ iter =  1273400
training @ iter =  1273500
training @ iter =  1273600
training @ iter =  1273700
training @ iter =  1273800
training @ iter =  1273900
epoch 364, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1274000
training @ iter =  1274100
training @ iter =  1274200
training @ iter =  1274300
training @ iter =  1274400
training @ iter =  1274500
training @ iter =  1274600
training @ iter =  1274700
training @ iter =  1274800
training @ iter =  1274900
training @ iter =  1275000
training @ iter =  1275100
training @ iter =  1275200
training @ iter =  1275300
training @ iter =  1275400
training @ iter =  1275500
training @ iter =  1275600
training @ iter =  1275700
training @ iter =  1275800
training @ iter =  1275900
training @ iter =  1276000
training @ iter =  1276100
training @ iter =  1276200
training @ iter =  1276300
training @ iter =  1276400
training @ iter =  1276500
training @ iter =  1276600
training @ iter =  1276700
training @ iter =  1276800
training @ iter =  1276900
training @ iter =  1277000
training @ iter =  1277100
training @ iter =  1277200
training @ iter =  1277300
training @ iter =  1277400
epoch 365, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1277500
training @ iter =  1277600
training @ iter =  1277700
training @ iter =  1277800
training @ iter =  1277900
training @ iter =  1278000
training @ iter =  1278100
training @ iter =  1278200
training @ iter =  1278300
training @ iter =  1278400
training @ iter =  1278500
training @ iter =  1278600
training @ iter =  1278700
training @ iter =  1278800
training @ iter =  1278900
training @ iter =  1279000
training @ iter =  1279100
training @ iter =  1279200
training @ iter =  1279300
training @ iter =  1279400
training @ iter =  1279500
training @ iter =  1279600
training @ iter =  1279700
training @ iter =  1279800
training @ iter =  1279900
training @ iter =  1280000
training @ iter =  1280100
training @ iter =  1280200
training @ iter =  1280300
training @ iter =  1280400
training @ iter =  1280500
training @ iter =  1280600
training @ iter =  1280700
training @ iter =  1280800
training @ iter =  1280900
epoch 366, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  1281000
training @ iter =  1281100
training @ iter =  1281200
training @ iter =  1281300
training @ iter =  1281400
training @ iter =  1281500
training @ iter =  1281600
training @ iter =  1281700
training @ iter =  1281800
training @ iter =  1281900
training @ iter =  1282000
training @ iter =  1282100
training @ iter =  1282200
training @ iter =  1282300
training @ iter =  1282400
training @ iter =  1282500
training @ iter =  1282600
training @ iter =  1282700
training @ iter =  1282800
training @ iter =  1282900
training @ iter =  1283000
training @ iter =  1283100
training @ iter =  1283200
training @ iter =  1283300
training @ iter =  1283400
training @ iter =  1283500
training @ iter =  1283600
training @ iter =  1283700
training @ iter =  1283800
training @ iter =  1283900
training @ iter =  1284000
training @ iter =  1284100
training @ iter =  1284200
training @ iter =  1284300
training @ iter =  1284400
epoch 367, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1284500
training @ iter =  1284600
training @ iter =  1284700
training @ iter =  1284800
training @ iter =  1284900
training @ iter =  1285000
training @ iter =  1285100
training @ iter =  1285200
training @ iter =  1285300
training @ iter =  1285400
training @ iter =  1285500
training @ iter =  1285600
training @ iter =  1285700
training @ iter =  1285800
training @ iter =  1285900
training @ iter =  1286000
training @ iter =  1286100
training @ iter =  1286200
training @ iter =  1286300
training @ iter =  1286400
training @ iter =  1286500
training @ iter =  1286600
training @ iter =  1286700
training @ iter =  1286800
training @ iter =  1286900
training @ iter =  1287000
training @ iter =  1287100
training @ iter =  1287200
training @ iter =  1287300
training @ iter =  1287400
training @ iter =  1287500
training @ iter =  1287600
training @ iter =  1287700
training @ iter =  1287800
training @ iter =  1287900
epoch 368, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1288000
training @ iter =  1288100
training @ iter =  1288200
training @ iter =  1288300
training @ iter =  1288400
training @ iter =  1288500
training @ iter =  1288600
training @ iter =  1288700
training @ iter =  1288800
training @ iter =  1288900
training @ iter =  1289000
training @ iter =  1289100
training @ iter =  1289200
training @ iter =  1289300
training @ iter =  1289400
training @ iter =  1289500
training @ iter =  1289600
training @ iter =  1289700
training @ iter =  1289800
training @ iter =  1289900
training @ iter =  1290000
training @ iter =  1290100
training @ iter =  1290200
training @ iter =  1290300
training @ iter =  1290400
training @ iter =  1290500
training @ iter =  1290600
training @ iter =  1290700
training @ iter =  1290800
training @ iter =  1290900
training @ iter =  1291000
training @ iter =  1291100
training @ iter =  1291200
training @ iter =  1291300
training @ iter =  1291400
epoch 369, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1291500
training @ iter =  1291600
training @ iter =  1291700
training @ iter =  1291800
training @ iter =  1291900
training @ iter =  1292000
training @ iter =  1292100
training @ iter =  1292200
training @ iter =  1292300
training @ iter =  1292400
training @ iter =  1292500
training @ iter =  1292600
training @ iter =  1292700
training @ iter =  1292800
training @ iter =  1292900
training @ iter =  1293000
training @ iter =  1293100
training @ iter =  1293200
training @ iter =  1293300
training @ iter =  1293400
training @ iter =  1293500
training @ iter =  1293600
training @ iter =  1293700
training @ iter =  1293800
training @ iter =  1293900
training @ iter =  1294000
training @ iter =  1294100
training @ iter =  1294200
training @ iter =  1294300
training @ iter =  1294400
training @ iter =  1294500
training @ iter =  1294600
training @ iter =  1294700
training @ iter =  1294800
training @ iter =  1294900
epoch 370, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1295000
training @ iter =  1295100
training @ iter =  1295200
training @ iter =  1295300
training @ iter =  1295400
training @ iter =  1295500
training @ iter =  1295600
training @ iter =  1295700
training @ iter =  1295800
training @ iter =  1295900
training @ iter =  1296000
training @ iter =  1296100
training @ iter =  1296200
training @ iter =  1296300
training @ iter =  1296400
training @ iter =  1296500
training @ iter =  1296600
training @ iter =  1296700
training @ iter =  1296800
training @ iter =  1296900
training @ iter =  1297000
training @ iter =  1297100
training @ iter =  1297200
training @ iter =  1297300
training @ iter =  1297400
training @ iter =  1297500
training @ iter =  1297600
training @ iter =  1297700
training @ iter =  1297800
training @ iter =  1297900
training @ iter =  1298000
training @ iter =  1298100
training @ iter =  1298200
training @ iter =  1298300
training @ iter =  1298400
epoch 371, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1298500
training @ iter =  1298600
training @ iter =  1298700
training @ iter =  1298800
training @ iter =  1298900
training @ iter =  1299000
training @ iter =  1299100
training @ iter =  1299200
training @ iter =  1299300
training @ iter =  1299400
training @ iter =  1299500
training @ iter =  1299600
training @ iter =  1299700
training @ iter =  1299800
training @ iter =  1299900
training @ iter =  1300000
training @ iter =  1300100
training @ iter =  1300200
training @ iter =  1300300
training @ iter =  1300400
training @ iter =  1300500
training @ iter =  1300600
training @ iter =  1300700
training @ iter =  1300800
training @ iter =  1300900
training @ iter =  1301000
training @ iter =  1301100
training @ iter =  1301200
training @ iter =  1301300
training @ iter =  1301400
training @ iter =  1301500
training @ iter =  1301600
training @ iter =  1301700
training @ iter =  1301800
training @ iter =  1301900
epoch 372, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1302000
training @ iter =  1302100
training @ iter =  1302200
training @ iter =  1302300
training @ iter =  1302400
training @ iter =  1302500
training @ iter =  1302600
training @ iter =  1302700
training @ iter =  1302800
training @ iter =  1302900
training @ iter =  1303000
training @ iter =  1303100
training @ iter =  1303200
training @ iter =  1303300
training @ iter =  1303400
training @ iter =  1303500
training @ iter =  1303600
training @ iter =  1303700
training @ iter =  1303800
training @ iter =  1303900
training @ iter =  1304000
training @ iter =  1304100
training @ iter =  1304200
training @ iter =  1304300
training @ iter =  1304400
training @ iter =  1304500
training @ iter =  1304600
training @ iter =  1304700
training @ iter =  1304800
training @ iter =  1304900
training @ iter =  1305000
training @ iter =  1305100
training @ iter =  1305200
training @ iter =  1305300
training @ iter =  1305400
epoch 373, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1305500
training @ iter =  1305600
training @ iter =  1305700
training @ iter =  1305800
training @ iter =  1305900
training @ iter =  1306000
training @ iter =  1306100
training @ iter =  1306200
training @ iter =  1306300
training @ iter =  1306400
training @ iter =  1306500
training @ iter =  1306600
training @ iter =  1306700
training @ iter =  1306800
training @ iter =  1306900
training @ iter =  1307000
training @ iter =  1307100
training @ iter =  1307200
training @ iter =  1307300
training @ iter =  1307400
training @ iter =  1307500
training @ iter =  1307600
training @ iter =  1307700
training @ iter =  1307800
training @ iter =  1307900
training @ iter =  1308000
training @ iter =  1308100
training @ iter =  1308200
training @ iter =  1308300
training @ iter =  1308400
training @ iter =  1308500
training @ iter =  1308600
training @ iter =  1308700
training @ iter =  1308800
training @ iter =  1308900
epoch 374, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1309000
training @ iter =  1309100
training @ iter =  1309200
training @ iter =  1309300
training @ iter =  1309400
training @ iter =  1309500
training @ iter =  1309600
training @ iter =  1309700
training @ iter =  1309800
training @ iter =  1309900
training @ iter =  1310000
training @ iter =  1310100
training @ iter =  1310200
training @ iter =  1310300
training @ iter =  1310400
training @ iter =  1310500
training @ iter =  1310600
training @ iter =  1310700
training @ iter =  1310800
training @ iter =  1310900
training @ iter =  1311000
training @ iter =  1311100
training @ iter =  1311200
training @ iter =  1311300
training @ iter =  1311400
training @ iter =  1311500
training @ iter =  1311600
training @ iter =  1311700
training @ iter =  1311800
training @ iter =  1311900
training @ iter =  1312000
training @ iter =  1312100
training @ iter =  1312200
training @ iter =  1312300
training @ iter =  1312400
epoch 375, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1312500
training @ iter =  1312600
training @ iter =  1312700
training @ iter =  1312800
training @ iter =  1312900
training @ iter =  1313000
training @ iter =  1313100
training @ iter =  1313200
training @ iter =  1313300
training @ iter =  1313400
training @ iter =  1313500
training @ iter =  1313600
training @ iter =  1313700
training @ iter =  1313800
training @ iter =  1313900
training @ iter =  1314000
training @ iter =  1314100
training @ iter =  1314200
training @ iter =  1314300
training @ iter =  1314400
training @ iter =  1314500
training @ iter =  1314600
training @ iter =  1314700
training @ iter =  1314800
training @ iter =  1314900
training @ iter =  1315000
training @ iter =  1315100
training @ iter =  1315200
training @ iter =  1315300
training @ iter =  1315400
training @ iter =  1315500
training @ iter =  1315600
training @ iter =  1315700
training @ iter =  1315800
training @ iter =  1315900
epoch 376, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1316000
training @ iter =  1316100
training @ iter =  1316200
training @ iter =  1316300
training @ iter =  1316400
training @ iter =  1316500
training @ iter =  1316600
training @ iter =  1316700
training @ iter =  1316800
training @ iter =  1316900
training @ iter =  1317000
training @ iter =  1317100
training @ iter =  1317200
training @ iter =  1317300
training @ iter =  1317400
training @ iter =  1317500
training @ iter =  1317600
training @ iter =  1317700
training @ iter =  1317800
training @ iter =  1317900
training @ iter =  1318000
training @ iter =  1318100
training @ iter =  1318200
training @ iter =  1318300
training @ iter =  1318400
training @ iter =  1318500
training @ iter =  1318600
training @ iter =  1318700
training @ iter =  1318800
training @ iter =  1318900
training @ iter =  1319000
training @ iter =  1319100
training @ iter =  1319200
training @ iter =  1319300
training @ iter =  1319400
epoch 377, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1319500
training @ iter =  1319600
training @ iter =  1319700
training @ iter =  1319800
training @ iter =  1319900
training @ iter =  1320000
training @ iter =  1320100
training @ iter =  1320200
training @ iter =  1320300
training @ iter =  1320400
training @ iter =  1320500
training @ iter =  1320600
training @ iter =  1320700
training @ iter =  1320800
training @ iter =  1320900
training @ iter =  1321000
training @ iter =  1321100
training @ iter =  1321200
training @ iter =  1321300
training @ iter =  1321400
training @ iter =  1321500
training @ iter =  1321600
training @ iter =  1321700
training @ iter =  1321800
training @ iter =  1321900
training @ iter =  1322000
training @ iter =  1322100
training @ iter =  1322200
training @ iter =  1322300
training @ iter =  1322400
training @ iter =  1322500
training @ iter =  1322600
training @ iter =  1322700
training @ iter =  1322800
training @ iter =  1322900
epoch 378, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1323000
training @ iter =  1323100
training @ iter =  1323200
training @ iter =  1323300
training @ iter =  1323400
training @ iter =  1323500
training @ iter =  1323600
training @ iter =  1323700
training @ iter =  1323800
training @ iter =  1323900
training @ iter =  1324000
training @ iter =  1324100
training @ iter =  1324200
training @ iter =  1324300
training @ iter =  1324400
training @ iter =  1324500
training @ iter =  1324600
training @ iter =  1324700
training @ iter =  1324800
training @ iter =  1324900
training @ iter =  1325000
training @ iter =  1325100
training @ iter =  1325200
training @ iter =  1325300
training @ iter =  1325400
training @ iter =  1325500
training @ iter =  1325600
training @ iter =  1325700
training @ iter =  1325800
training @ iter =  1325900
training @ iter =  1326000
training @ iter =  1326100
training @ iter =  1326200
training @ iter =  1326300
training @ iter =  1326400
epoch 379, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1326500
training @ iter =  1326600
training @ iter =  1326700
training @ iter =  1326800
training @ iter =  1326900
training @ iter =  1327000
training @ iter =  1327100
training @ iter =  1327200
training @ iter =  1327300
training @ iter =  1327400
training @ iter =  1327500
training @ iter =  1327600
training @ iter =  1327700
training @ iter =  1327800
training @ iter =  1327900
training @ iter =  1328000
training @ iter =  1328100
training @ iter =  1328200
training @ iter =  1328300
training @ iter =  1328400
training @ iter =  1328500
training @ iter =  1328600
training @ iter =  1328700
training @ iter =  1328800
training @ iter =  1328900
training @ iter =  1329000
training @ iter =  1329100
training @ iter =  1329200
training @ iter =  1329300
training @ iter =  1329400
training @ iter =  1329500
training @ iter =  1329600
training @ iter =  1329700
training @ iter =  1329800
training @ iter =  1329900
epoch 380, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1330000
training @ iter =  1330100
training @ iter =  1330200
training @ iter =  1330300
training @ iter =  1330400
training @ iter =  1330500
training @ iter =  1330600
training @ iter =  1330700
training @ iter =  1330800
training @ iter =  1330900
training @ iter =  1331000
training @ iter =  1331100
training @ iter =  1331200
training @ iter =  1331300
training @ iter =  1331400
training @ iter =  1331500
training @ iter =  1331600
training @ iter =  1331700
training @ iter =  1331800
training @ iter =  1331900
training @ iter =  1332000
training @ iter =  1332100
training @ iter =  1332200
training @ iter =  1332300
training @ iter =  1332400
training @ iter =  1332500
training @ iter =  1332600
training @ iter =  1332700
training @ iter =  1332800
training @ iter =  1332900
training @ iter =  1333000
training @ iter =  1333100
training @ iter =  1333200
training @ iter =  1333300
training @ iter =  1333400
epoch 381, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1333500
training @ iter =  1333600
training @ iter =  1333700
training @ iter =  1333800
training @ iter =  1333900
training @ iter =  1334000
training @ iter =  1334100
training @ iter =  1334200
training @ iter =  1334300
training @ iter =  1334400
training @ iter =  1334500
training @ iter =  1334600
training @ iter =  1334700
training @ iter =  1334800
training @ iter =  1334900
training @ iter =  1335000
training @ iter =  1335100
training @ iter =  1335200
training @ iter =  1335300
training @ iter =  1335400
training @ iter =  1335500
training @ iter =  1335600
training @ iter =  1335700
training @ iter =  1335800
training @ iter =  1335900
training @ iter =  1336000
training @ iter =  1336100
training @ iter =  1336200
training @ iter =  1336300
training @ iter =  1336400
training @ iter =  1336500
training @ iter =  1336600
training @ iter =  1336700
training @ iter =  1336800
training @ iter =  1336900
epoch 382, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1337000
training @ iter =  1337100
training @ iter =  1337200
training @ iter =  1337300
training @ iter =  1337400
training @ iter =  1337500
training @ iter =  1337600
training @ iter =  1337700
training @ iter =  1337800
training @ iter =  1337900
training @ iter =  1338000
training @ iter =  1338100
training @ iter =  1338200
training @ iter =  1338300
training @ iter =  1338400
training @ iter =  1338500
training @ iter =  1338600
training @ iter =  1338700
training @ iter =  1338800
training @ iter =  1338900
training @ iter =  1339000
training @ iter =  1339100
training @ iter =  1339200
training @ iter =  1339300
training @ iter =  1339400
training @ iter =  1339500
training @ iter =  1339600
training @ iter =  1339700
training @ iter =  1339800
training @ iter =  1339900
training @ iter =  1340000
training @ iter =  1340100
training @ iter =  1340200
training @ iter =  1340300
training @ iter =  1340400
epoch 383, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1340500
training @ iter =  1340600
training @ iter =  1340700
training @ iter =  1340800
training @ iter =  1340900
training @ iter =  1341000
training @ iter =  1341100
training @ iter =  1341200
training @ iter =  1341300
training @ iter =  1341400
training @ iter =  1341500
training @ iter =  1341600
training @ iter =  1341700
training @ iter =  1341800
training @ iter =  1341900
training @ iter =  1342000
training @ iter =  1342100
training @ iter =  1342200
training @ iter =  1342300
training @ iter =  1342400
training @ iter =  1342500
training @ iter =  1342600
training @ iter =  1342700
training @ iter =  1342800
training @ iter =  1342900
training @ iter =  1343000
training @ iter =  1343100
training @ iter =  1343200
training @ iter =  1343300
training @ iter =  1343400
training @ iter =  1343500
training @ iter =  1343600
training @ iter =  1343700
training @ iter =  1343800
training @ iter =  1343900
epoch 384, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1344000
training @ iter =  1344100
training @ iter =  1344200
training @ iter =  1344300
training @ iter =  1344400
training @ iter =  1344500
training @ iter =  1344600
training @ iter =  1344700
training @ iter =  1344800
training @ iter =  1344900
training @ iter =  1345000
training @ iter =  1345100
training @ iter =  1345200
training @ iter =  1345300
training @ iter =  1345400
training @ iter =  1345500
training @ iter =  1345600
training @ iter =  1345700
training @ iter =  1345800
training @ iter =  1345900
training @ iter =  1346000
training @ iter =  1346100
training @ iter =  1346200
training @ iter =  1346300
training @ iter =  1346400
training @ iter =  1346500
training @ iter =  1346600
training @ iter =  1346700
training @ iter =  1346800
training @ iter =  1346900
training @ iter =  1347000
training @ iter =  1347100
training @ iter =  1347200
training @ iter =  1347300
training @ iter =  1347400
epoch 385, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1347500
training @ iter =  1347600
training @ iter =  1347700
training @ iter =  1347800
training @ iter =  1347900
training @ iter =  1348000
training @ iter =  1348100
training @ iter =  1348200
training @ iter =  1348300
training @ iter =  1348400
training @ iter =  1348500
training @ iter =  1348600
training @ iter =  1348700
training @ iter =  1348800
training @ iter =  1348900
training @ iter =  1349000
training @ iter =  1349100
training @ iter =  1349200
training @ iter =  1349300
training @ iter =  1349400
training @ iter =  1349500
training @ iter =  1349600
training @ iter =  1349700
training @ iter =  1349800
training @ iter =  1349900
training @ iter =  1350000
training @ iter =  1350100
training @ iter =  1350200
training @ iter =  1350300
training @ iter =  1350400
training @ iter =  1350500
training @ iter =  1350600
training @ iter =  1350700
training @ iter =  1350800
training @ iter =  1350900
epoch 386, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1351000
training @ iter =  1351100
training @ iter =  1351200
training @ iter =  1351300
training @ iter =  1351400
training @ iter =  1351500
training @ iter =  1351600
training @ iter =  1351700
training @ iter =  1351800
training @ iter =  1351900
training @ iter =  1352000
training @ iter =  1352100
training @ iter =  1352200
training @ iter =  1352300
training @ iter =  1352400
training @ iter =  1352500
training @ iter =  1352600
training @ iter =  1352700
training @ iter =  1352800
training @ iter =  1352900
training @ iter =  1353000
training @ iter =  1353100
training @ iter =  1353200
training @ iter =  1353300
training @ iter =  1353400
training @ iter =  1353500
training @ iter =  1353600
training @ iter =  1353700
training @ iter =  1353800
training @ iter =  1353900
training @ iter =  1354000
training @ iter =  1354100
training @ iter =  1354200
training @ iter =  1354300
training @ iter =  1354400
epoch 387, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1354500
training @ iter =  1354600
training @ iter =  1354700
training @ iter =  1354800
training @ iter =  1354900
training @ iter =  1355000
training @ iter =  1355100
training @ iter =  1355200
training @ iter =  1355300
training @ iter =  1355400
training @ iter =  1355500
training @ iter =  1355600
training @ iter =  1355700
training @ iter =  1355800
training @ iter =  1355900
training @ iter =  1356000
training @ iter =  1356100
training @ iter =  1356200
training @ iter =  1356300
training @ iter =  1356400
training @ iter =  1356500
training @ iter =  1356600
training @ iter =  1356700
training @ iter =  1356800
training @ iter =  1356900
training @ iter =  1357000
training @ iter =  1357100
training @ iter =  1357200
training @ iter =  1357300
training @ iter =  1357400
training @ iter =  1357500
training @ iter =  1357600
training @ iter =  1357700
training @ iter =  1357800
training @ iter =  1357900
epoch 388, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1358000
training @ iter =  1358100
training @ iter =  1358200
training @ iter =  1358300
training @ iter =  1358400
training @ iter =  1358500
training @ iter =  1358600
training @ iter =  1358700
training @ iter =  1358800
training @ iter =  1358900
training @ iter =  1359000
training @ iter =  1359100
training @ iter =  1359200
training @ iter =  1359300
training @ iter =  1359400
training @ iter =  1359500
training @ iter =  1359600
training @ iter =  1359700
training @ iter =  1359800
training @ iter =  1359900
training @ iter =  1360000
training @ iter =  1360100
training @ iter =  1360200
training @ iter =  1360300
training @ iter =  1360400
training @ iter =  1360500
training @ iter =  1360600
training @ iter =  1360700
training @ iter =  1360800
training @ iter =  1360900
training @ iter =  1361000
training @ iter =  1361100
training @ iter =  1361200
training @ iter =  1361300
training @ iter =  1361400
epoch 389, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1361500
training @ iter =  1361600
training @ iter =  1361700
training @ iter =  1361800
training @ iter =  1361900
training @ iter =  1362000
training @ iter =  1362100
training @ iter =  1362200
training @ iter =  1362300
training @ iter =  1362400
training @ iter =  1362500
training @ iter =  1362600
training @ iter =  1362700
training @ iter =  1362800
training @ iter =  1362900
training @ iter =  1363000
training @ iter =  1363100
training @ iter =  1363200
training @ iter =  1363300
training @ iter =  1363400
training @ iter =  1363500
training @ iter =  1363600
training @ iter =  1363700
training @ iter =  1363800
training @ iter =  1363900
training @ iter =  1364000
training @ iter =  1364100
training @ iter =  1364200
training @ iter =  1364300
training @ iter =  1364400
training @ iter =  1364500
training @ iter =  1364600
training @ iter =  1364700
training @ iter =  1364800
training @ iter =  1364900
epoch 390, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1365000
training @ iter =  1365100
training @ iter =  1365200
training @ iter =  1365300
training @ iter =  1365400
training @ iter =  1365500
training @ iter =  1365600
training @ iter =  1365700
training @ iter =  1365800
training @ iter =  1365900
training @ iter =  1366000
training @ iter =  1366100
training @ iter =  1366200
training @ iter =  1366300
training @ iter =  1366400
training @ iter =  1366500
training @ iter =  1366600
training @ iter =  1366700
training @ iter =  1366800
training @ iter =  1366900
training @ iter =  1367000
training @ iter =  1367100
training @ iter =  1367200
training @ iter =  1367300
training @ iter =  1367400
training @ iter =  1367500
training @ iter =  1367600
training @ iter =  1367700
training @ iter =  1367800
training @ iter =  1367900
training @ iter =  1368000
training @ iter =  1368100
training @ iter =  1368200
training @ iter =  1368300
training @ iter =  1368400
epoch 391, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1368500
training @ iter =  1368600
training @ iter =  1368700
training @ iter =  1368800
training @ iter =  1368900
training @ iter =  1369000
training @ iter =  1369100
training @ iter =  1369200
training @ iter =  1369300
training @ iter =  1369400
training @ iter =  1369500
training @ iter =  1369600
training @ iter =  1369700
training @ iter =  1369800
training @ iter =  1369900
training @ iter =  1370000
training @ iter =  1370100
training @ iter =  1370200
training @ iter =  1370300
training @ iter =  1370400
training @ iter =  1370500
training @ iter =  1370600
training @ iter =  1370700
training @ iter =  1370800
training @ iter =  1370900
training @ iter =  1371000
training @ iter =  1371100
training @ iter =  1371200
training @ iter =  1371300
training @ iter =  1371400
training @ iter =  1371500
training @ iter =  1371600
training @ iter =  1371700
training @ iter =  1371800
training @ iter =  1371900
epoch 392, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1372000
training @ iter =  1372100
training @ iter =  1372200
training @ iter =  1372300
training @ iter =  1372400
training @ iter =  1372500
training @ iter =  1372600
training @ iter =  1372700
training @ iter =  1372800
training @ iter =  1372900
training @ iter =  1373000
training @ iter =  1373100
training @ iter =  1373200
training @ iter =  1373300
training @ iter =  1373400
training @ iter =  1373500
training @ iter =  1373600
training @ iter =  1373700
training @ iter =  1373800
training @ iter =  1373900
training @ iter =  1374000
training @ iter =  1374100
training @ iter =  1374200
training @ iter =  1374300
training @ iter =  1374400
training @ iter =  1374500
training @ iter =  1374600
training @ iter =  1374700
training @ iter =  1374800
training @ iter =  1374900
training @ iter =  1375000
training @ iter =  1375100
training @ iter =  1375200
training @ iter =  1375300
training @ iter =  1375400
epoch 393, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1375500
training @ iter =  1375600
training @ iter =  1375700
training @ iter =  1375800
training @ iter =  1375900
training @ iter =  1376000
training @ iter =  1376100
training @ iter =  1376200
training @ iter =  1376300
training @ iter =  1376400
training @ iter =  1376500
training @ iter =  1376600
training @ iter =  1376700
training @ iter =  1376800
training @ iter =  1376900
training @ iter =  1377000
training @ iter =  1377100
training @ iter =  1377200
training @ iter =  1377300
training @ iter =  1377400
training @ iter =  1377500
training @ iter =  1377600
training @ iter =  1377700
training @ iter =  1377800
training @ iter =  1377900
training @ iter =  1378000
training @ iter =  1378100
training @ iter =  1378200
training @ iter =  1378300
training @ iter =  1378400
training @ iter =  1378500
training @ iter =  1378600
training @ iter =  1378700
training @ iter =  1378800
training @ iter =  1378900
epoch 394, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1379000
training @ iter =  1379100
training @ iter =  1379200
training @ iter =  1379300
training @ iter =  1379400
training @ iter =  1379500
training @ iter =  1379600
training @ iter =  1379700
training @ iter =  1379800
training @ iter =  1379900
training @ iter =  1380000
training @ iter =  1380100
training @ iter =  1380200
training @ iter =  1380300
training @ iter =  1380400
training @ iter =  1380500
training @ iter =  1380600
training @ iter =  1380700
training @ iter =  1380800
training @ iter =  1380900
training @ iter =  1381000
training @ iter =  1381100
training @ iter =  1381200
training @ iter =  1381300
training @ iter =  1381400
training @ iter =  1381500
training @ iter =  1381600
training @ iter =  1381700
training @ iter =  1381800
training @ iter =  1381900
training @ iter =  1382000
training @ iter =  1382100
training @ iter =  1382200
training @ iter =  1382300
training @ iter =  1382400
epoch 395, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1382500
training @ iter =  1382600
training @ iter =  1382700
training @ iter =  1382800
training @ iter =  1382900
training @ iter =  1383000
training @ iter =  1383100
training @ iter =  1383200
training @ iter =  1383300
training @ iter =  1383400
training @ iter =  1383500
training @ iter =  1383600
training @ iter =  1383700
training @ iter =  1383800
training @ iter =  1383900
training @ iter =  1384000
training @ iter =  1384100
training @ iter =  1384200
training @ iter =  1384300
training @ iter =  1384400
training @ iter =  1384500
training @ iter =  1384600
training @ iter =  1384700
training @ iter =  1384800
training @ iter =  1384900
training @ iter =  1385000
training @ iter =  1385100
training @ iter =  1385200
training @ iter =  1385300
training @ iter =  1385400
training @ iter =  1385500
training @ iter =  1385600
training @ iter =  1385700
training @ iter =  1385800
training @ iter =  1385900
epoch 396, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1386000
training @ iter =  1386100
training @ iter =  1386200
training @ iter =  1386300
training @ iter =  1386400
training @ iter =  1386500
training @ iter =  1386600
training @ iter =  1386700
training @ iter =  1386800
training @ iter =  1386900
training @ iter =  1387000
training @ iter =  1387100
training @ iter =  1387200
training @ iter =  1387300
training @ iter =  1387400
training @ iter =  1387500
training @ iter =  1387600
training @ iter =  1387700
training @ iter =  1387800
training @ iter =  1387900
training @ iter =  1388000
training @ iter =  1388100
training @ iter =  1388200
training @ iter =  1388300
training @ iter =  1388400
training @ iter =  1388500
training @ iter =  1388600
training @ iter =  1388700
training @ iter =  1388800
training @ iter =  1388900
training @ iter =  1389000
training @ iter =  1389100
training @ iter =  1389200
training @ iter =  1389300
training @ iter =  1389400
epoch 397, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1389500
training @ iter =  1389600
training @ iter =  1389700
training @ iter =  1389800
training @ iter =  1389900
training @ iter =  1390000
training @ iter =  1390100
training @ iter =  1390200
training @ iter =  1390300
training @ iter =  1390400
training @ iter =  1390500
training @ iter =  1390600
training @ iter =  1390700
training @ iter =  1390800
training @ iter =  1390900
training @ iter =  1391000
training @ iter =  1391100
training @ iter =  1391200
training @ iter =  1391300
training @ iter =  1391400
training @ iter =  1391500
training @ iter =  1391600
training @ iter =  1391700
training @ iter =  1391800
training @ iter =  1391900
training @ iter =  1392000
training @ iter =  1392100
training @ iter =  1392200
training @ iter =  1392300
training @ iter =  1392400
training @ iter =  1392500
training @ iter =  1392600
training @ iter =  1392700
training @ iter =  1392800
training @ iter =  1392900
epoch 398, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1393000
training @ iter =  1393100
training @ iter =  1393200
training @ iter =  1393300
training @ iter =  1393400
training @ iter =  1393500
training @ iter =  1393600
training @ iter =  1393700
training @ iter =  1393800
training @ iter =  1393900
training @ iter =  1394000
training @ iter =  1394100
training @ iter =  1394200
training @ iter =  1394300
training @ iter =  1394400
training @ iter =  1394500
training @ iter =  1394600
training @ iter =  1394700
training @ iter =  1394800
training @ iter =  1394900
training @ iter =  1395000
training @ iter =  1395100
training @ iter =  1395200
training @ iter =  1395300
training @ iter =  1395400
training @ iter =  1395500
training @ iter =  1395600
training @ iter =  1395700
training @ iter =  1395800
training @ iter =  1395900
training @ iter =  1396000
training @ iter =  1396100
training @ iter =  1396200
training @ iter =  1396300
training @ iter =  1396400
epoch 399, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  1396500
training @ iter =  1396600
training @ iter =  1396700
training @ iter =  1396800
training @ iter =  1396900
training @ iter =  1397000
training @ iter =  1397100
training @ iter =  1397200
training @ iter =  1397300
training @ iter =  1397400
training @ iter =  1397500
training @ iter =  1397600
training @ iter =  1397700
training @ iter =  1397800
training @ iter =  1397900
training @ iter =  1398000
training @ iter =  1398100
training @ iter =  1398200
training @ iter =  1398300
training @ iter =  1398400
training @ iter =  1398500
training @ iter =  1398600
training @ iter =  1398700
training @ iter =  1398800
training @ iter =  1398900
training @ iter =  1399000
training @ iter =  1399100
training @ iter =  1399200
training @ iter =  1399300
training @ iter =  1399400
training @ iter =  1399500
training @ iter =  1399600
training @ iter =  1399700
training @ iter =  1399800
training @ iter =  1399900
epoch 400, minibatch 3500/3500, validation error 0.600000 %
Optimization complete.
Best validation score of 0.580000 % obtained at iteration 742000, with test performance 0.600000 %
Saving Model as "mcdnn_slice1_dsmnist_elastic_4_34_nm10_trail0_time_1448527560"...
... train 0 column of normalization 12
... num_epochs 400
... loading data
Loaded DS on RAM
... normalizing digits to width 12 with extra padding 1
... sharing data
... building the dnn column
... training
training @ iter =  0
training @ iter =  100
training @ iter =  200
training @ iter =  300
training @ iter =  400
training @ iter =  500
training @ iter =  600
training @ iter =  700
training @ iter =  800
training @ iter =  900
training @ iter =  1000
training @ iter =  1100
training @ iter =  1200
training @ iter =  1300
training @ iter =  1400
training @ iter =  1500
training @ iter =  1600
training @ iter =  1700
training @ iter =  1800
training @ iter =  1900
training @ iter =  2000
training @ iter =  2100
training @ iter =  2200
training @ iter =  2300
training @ iter =  2400
training @ iter =  2500
training @ iter =  2600
training @ iter =  2700
training @ iter =  2800
training @ iter =  2900
training @ iter =  3000
training @ iter =  3100
training @ iter =  3200
training @ iter =  3300
training @ iter =  3400
epoch 1, minibatch 3500/3500, validation error 1.380000 %
     epoch 1, minibatch 3500/3500, test error of best model 1.290000 %
training @ iter =  3500
training @ iter =  3600
training @ iter =  3700
training @ iter =  3800
training @ iter =  3900
training @ iter =  4000
training @ iter =  4100
training @ iter =  4200
training @ iter =  4300
training @ iter =  4400
training @ iter =  4500
training @ iter =  4600
training @ iter =  4700
training @ iter =  4800
training @ iter =  4900
training @ iter =  5000
training @ iter =  5100
training @ iter =  5200
training @ iter =  5300
training @ iter =  5400
training @ iter =  5500
training @ iter =  5600
training @ iter =  5700
training @ iter =  5800
training @ iter =  5900
training @ iter =  6000
training @ iter =  6100
training @ iter =  6200
training @ iter =  6300
training @ iter =  6400
training @ iter =  6500
training @ iter =  6600
training @ iter =  6700
training @ iter =  6800
training @ iter =  6900
epoch 2, minibatch 3500/3500, validation error 1.040000 %
     epoch 2, minibatch 3500/3500, test error of best model 0.910000 %
training @ iter =  7000
training @ iter =  7100
training @ iter =  7200
training @ iter =  7300
training @ iter =  7400
training @ iter =  7500
training @ iter =  7600
training @ iter =  7700
training @ iter =  7800
training @ iter =  7900
training @ iter =  8000
training @ iter =  8100
training @ iter =  8200
training @ iter =  8300
training @ iter =  8400
training @ iter =  8500
training @ iter =  8600
training @ iter =  8700
training @ iter =  8800
training @ iter =  8900
training @ iter =  9000
training @ iter =  9100
training @ iter =  9200
training @ iter =  9300
training @ iter =  9400
training @ iter =  9500
training @ iter =  9600
training @ iter =  9700
training @ iter =  9800
training @ iter =  9900
training @ iter =  10000
training @ iter =  10100
training @ iter =  10200
training @ iter =  10300
training @ iter =  10400
epoch 3, minibatch 3500/3500, validation error 0.930000 %
     epoch 3, minibatch 3500/3500, test error of best model 0.740000 %
training @ iter =  10500
training @ iter =  10600
training @ iter =  10700
training @ iter =  10800
training @ iter =  10900
training @ iter =  11000
training @ iter =  11100
training @ iter =  11200
training @ iter =  11300
training @ iter =  11400
training @ iter =  11500
training @ iter =  11600
training @ iter =  11700
training @ iter =  11800
training @ iter =  11900
training @ iter =  12000
training @ iter =  12100
training @ iter =  12200
training @ iter =  12300
training @ iter =  12400
training @ iter =  12500
training @ iter =  12600
training @ iter =  12700
training @ iter =  12800
training @ iter =  12900
training @ iter =  13000
training @ iter =  13100
training @ iter =  13200
training @ iter =  13300
training @ iter =  13400
training @ iter =  13500
training @ iter =  13600
training @ iter =  13700
training @ iter =  13800
training @ iter =  13900
epoch 4, minibatch 3500/3500, validation error 0.850000 %
     epoch 4, minibatch 3500/3500, test error of best model 0.600000 %
training @ iter =  14000
training @ iter =  14100
training @ iter =  14200
training @ iter =  14300
training @ iter =  14400
training @ iter =  14500
training @ iter =  14600
training @ iter =  14700
training @ iter =  14800
training @ iter =  14900
training @ iter =  15000
training @ iter =  15100
training @ iter =  15200
training @ iter =  15300
training @ iter =  15400
training @ iter =  15500
training @ iter =  15600
training @ iter =  15700
training @ iter =  15800
training @ iter =  15900
training @ iter =  16000
training @ iter =  16100
training @ iter =  16200
training @ iter =  16300
training @ iter =  16400
training @ iter =  16500
training @ iter =  16600
training @ iter =  16700
training @ iter =  16800
training @ iter =  16900
training @ iter =  17000
training @ iter =  17100
training @ iter =  17200
training @ iter =  17300
training @ iter =  17400
epoch 5, minibatch 3500/3500, validation error 0.790000 %
     epoch 5, minibatch 3500/3500, test error of best model 0.570000 %
training @ iter =  17500
training @ iter =  17600
training @ iter =  17700
training @ iter =  17800
training @ iter =  17900
training @ iter =  18000
training @ iter =  18100
training @ iter =  18200
training @ iter =  18300
training @ iter =  18400
training @ iter =  18500
training @ iter =  18600
training @ iter =  18700
training @ iter =  18800
training @ iter =  18900
training @ iter =  19000
training @ iter =  19100
training @ iter =  19200
training @ iter =  19300
training @ iter =  19400
training @ iter =  19500
training @ iter =  19600
training @ iter =  19700
training @ iter =  19800
training @ iter =  19900
training @ iter =  20000
training @ iter =  20100
training @ iter =  20200
training @ iter =  20300
training @ iter =  20400
training @ iter =  20500
training @ iter =  20600
training @ iter =  20700
training @ iter =  20800
training @ iter =  20900
epoch 6, minibatch 3500/3500, validation error 0.740000 %
     epoch 6, minibatch 3500/3500, test error of best model 0.540000 %
training @ iter =  21000
training @ iter =  21100
training @ iter =  21200
training @ iter =  21300
training @ iter =  21400
training @ iter =  21500
training @ iter =  21600
training @ iter =  21700
training @ iter =  21800
training @ iter =  21900
training @ iter =  22000
training @ iter =  22100
training @ iter =  22200
training @ iter =  22300
training @ iter =  22400
training @ iter =  22500
training @ iter =  22600
training @ iter =  22700
training @ iter =  22800
training @ iter =  22900
training @ iter =  23000
training @ iter =  23100
training @ iter =  23200
training @ iter =  23300
training @ iter =  23400
training @ iter =  23500
training @ iter =  23600
training @ iter =  23700
training @ iter =  23800
training @ iter =  23900
training @ iter =  24000
training @ iter =  24100
training @ iter =  24200
training @ iter =  24300
training @ iter =  24400
epoch 7, minibatch 3500/3500, validation error 0.670000 %
     epoch 7, minibatch 3500/3500, test error of best model 0.550000 %
training @ iter =  24500
training @ iter =  24600
training @ iter =  24700
training @ iter =  24800
training @ iter =  24900
training @ iter =  25000
training @ iter =  25100
training @ iter =  25200
training @ iter =  25300
training @ iter =  25400
training @ iter =  25500
training @ iter =  25600
training @ iter =  25700
training @ iter =  25800
training @ iter =  25900
training @ iter =  26000
training @ iter =  26100
training @ iter =  26200
training @ iter =  26300
training @ iter =  26400
training @ iter =  26500
training @ iter =  26600
training @ iter =  26700
training @ iter =  26800
training @ iter =  26900
training @ iter =  27000
training @ iter =  27100
training @ iter =  27200
training @ iter =  27300
training @ iter =  27400
training @ iter =  27500
training @ iter =  27600
training @ iter =  27700
training @ iter =  27800
training @ iter =  27900
epoch 8, minibatch 3500/3500, validation error 0.630000 %
     epoch 8, minibatch 3500/3500, test error of best model 0.580000 %
training @ iter =  28000
training @ iter =  28100
training @ iter =  28200
training @ iter =  28300
training @ iter =  28400
training @ iter =  28500
training @ iter =  28600
training @ iter =  28700
training @ iter =  28800
training @ iter =  28900
training @ iter =  29000
training @ iter =  29100
training @ iter =  29200
training @ iter =  29300
training @ iter =  29400
training @ iter =  29500
training @ iter =  29600
training @ iter =  29700
training @ iter =  29800
training @ iter =  29900
training @ iter =  30000
training @ iter =  30100
training @ iter =  30200
training @ iter =  30300
training @ iter =  30400
training @ iter =  30500
training @ iter =  30600
training @ iter =  30700
training @ iter =  30800
training @ iter =  30900
training @ iter =  31000
training @ iter =  31100
training @ iter =  31200
training @ iter =  31300
training @ iter =  31400
epoch 9, minibatch 3500/3500, validation error 0.600000 %
     epoch 9, minibatch 3500/3500, test error of best model 0.570000 %
training @ iter =  31500
training @ iter =  31600
training @ iter =  31700
training @ iter =  31800
training @ iter =  31900
training @ iter =  32000
training @ iter =  32100
training @ iter =  32200
training @ iter =  32300
training @ iter =  32400
training @ iter =  32500
training @ iter =  32600
training @ iter =  32700
training @ iter =  32800
training @ iter =  32900
training @ iter =  33000
training @ iter =  33100
training @ iter =  33200
training @ iter =  33300
training @ iter =  33400
training @ iter =  33500
training @ iter =  33600
training @ iter =  33700
training @ iter =  33800
training @ iter =  33900
training @ iter =  34000
training @ iter =  34100
training @ iter =  34200
training @ iter =  34300
training @ iter =  34400
training @ iter =  34500
training @ iter =  34600
training @ iter =  34700
training @ iter =  34800
training @ iter =  34900
epoch 10, minibatch 3500/3500, validation error 0.590000 %
     epoch 10, minibatch 3500/3500, test error of best model 0.610000 %
training @ iter =  35000
training @ iter =  35100
training @ iter =  35200
training @ iter =  35300
training @ iter =  35400
training @ iter =  35500
training @ iter =  35600
training @ iter =  35700
training @ iter =  35800
training @ iter =  35900
training @ iter =  36000
training @ iter =  36100
training @ iter =  36200
training @ iter =  36300
training @ iter =  36400
training @ iter =  36500
training @ iter =  36600
training @ iter =  36700
training @ iter =  36800
training @ iter =  36900
training @ iter =  37000
training @ iter =  37100
training @ iter =  37200
training @ iter =  37300
training @ iter =  37400
training @ iter =  37500
training @ iter =  37600
training @ iter =  37700
training @ iter =  37800
training @ iter =  37900
training @ iter =  38000
training @ iter =  38100
training @ iter =  38200
training @ iter =  38300
training @ iter =  38400
epoch 11, minibatch 3500/3500, validation error 0.570000 %
     epoch 11, minibatch 3500/3500, test error of best model 0.560000 %
training @ iter =  38500
training @ iter =  38600
training @ iter =  38700
training @ iter =  38800
training @ iter =  38900
training @ iter =  39000
training @ iter =  39100
training @ iter =  39200
training @ iter =  39300
training @ iter =  39400
training @ iter =  39500
training @ iter =  39600
training @ iter =  39700
training @ iter =  39800
training @ iter =  39900
training @ iter =  40000
training @ iter =  40100
training @ iter =  40200
training @ iter =  40300
training @ iter =  40400
training @ iter =  40500
training @ iter =  40600
training @ iter =  40700
training @ iter =  40800
training @ iter =  40900
training @ iter =  41000
training @ iter =  41100
training @ iter =  41200
training @ iter =  41300
training @ iter =  41400
training @ iter =  41500
training @ iter =  41600
training @ iter =  41700
training @ iter =  41800
training @ iter =  41900
epoch 12, minibatch 3500/3500, validation error 0.560000 %
     epoch 12, minibatch 3500/3500, test error of best model 0.570000 %
training @ iter =  42000
training @ iter =  42100
training @ iter =  42200
training @ iter =  42300
training @ iter =  42400
training @ iter =  42500
training @ iter =  42600
training @ iter =  42700
training @ iter =  42800
training @ iter =  42900
training @ iter =  43000
training @ iter =  43100
training @ iter =  43200
training @ iter =  43300
training @ iter =  43400
training @ iter =  43500
training @ iter =  43600
training @ iter =  43700
training @ iter =  43800
training @ iter =  43900
training @ iter =  44000
training @ iter =  44100
training @ iter =  44200
training @ iter =  44300
training @ iter =  44400
training @ iter =  44500
training @ iter =  44600
training @ iter =  44700
training @ iter =  44800
training @ iter =  44900
training @ iter =  45000
training @ iter =  45100
training @ iter =  45200
training @ iter =  45300
training @ iter =  45400
epoch 13, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  45500
training @ iter =  45600
training @ iter =  45700
training @ iter =  45800
training @ iter =  45900
training @ iter =  46000
training @ iter =  46100
training @ iter =  46200
training @ iter =  46300
training @ iter =  46400
training @ iter =  46500
training @ iter =  46600
training @ iter =  46700
training @ iter =  46800
training @ iter =  46900
training @ iter =  47000
training @ iter =  47100
training @ iter =  47200
training @ iter =  47300
training @ iter =  47400
training @ iter =  47500
training @ iter =  47600
training @ iter =  47700
training @ iter =  47800
training @ iter =  47900
training @ iter =  48000
training @ iter =  48100
training @ iter =  48200
training @ iter =  48300
training @ iter =  48400
training @ iter =  48500
training @ iter =  48600
training @ iter =  48700
training @ iter =  48800
training @ iter =  48900
epoch 14, minibatch 3500/3500, validation error 0.550000 %
     epoch 14, minibatch 3500/3500, test error of best model 0.550000 %
training @ iter =  49000
training @ iter =  49100
training @ iter =  49200
training @ iter =  49300
training @ iter =  49400
training @ iter =  49500
training @ iter =  49600
training @ iter =  49700
training @ iter =  49800
training @ iter =  49900
training @ iter =  50000
training @ iter =  50100
training @ iter =  50200
training @ iter =  50300
training @ iter =  50400
training @ iter =  50500
training @ iter =  50600
training @ iter =  50700
training @ iter =  50800
training @ iter =  50900
training @ iter =  51000
training @ iter =  51100
training @ iter =  51200
training @ iter =  51300
training @ iter =  51400
training @ iter =  51500
training @ iter =  51600
training @ iter =  51700
training @ iter =  51800
training @ iter =  51900
training @ iter =  52000
training @ iter =  52100
training @ iter =  52200
training @ iter =  52300
training @ iter =  52400
epoch 15, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  52500
training @ iter =  52600
training @ iter =  52700
training @ iter =  52800
training @ iter =  52900
training @ iter =  53000
training @ iter =  53100
training @ iter =  53200
training @ iter =  53300
training @ iter =  53400
training @ iter =  53500
training @ iter =  53600
training @ iter =  53700
training @ iter =  53800
training @ iter =  53900
training @ iter =  54000
training @ iter =  54100
training @ iter =  54200
training @ iter =  54300
training @ iter =  54400
training @ iter =  54500
training @ iter =  54600
training @ iter =  54700
training @ iter =  54800
training @ iter =  54900
training @ iter =  55000
training @ iter =  55100
training @ iter =  55200
training @ iter =  55300
training @ iter =  55400
training @ iter =  55500
training @ iter =  55600
training @ iter =  55700
training @ iter =  55800
training @ iter =  55900
epoch 16, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  56000
training @ iter =  56100
training @ iter =  56200
training @ iter =  56300
training @ iter =  56400
training @ iter =  56500
training @ iter =  56600
training @ iter =  56700
training @ iter =  56800
training @ iter =  56900
training @ iter =  57000
training @ iter =  57100
training @ iter =  57200
training @ iter =  57300
training @ iter =  57400
training @ iter =  57500
training @ iter =  57600
training @ iter =  57700
training @ iter =  57800
training @ iter =  57900
training @ iter =  58000
training @ iter =  58100
training @ iter =  58200
training @ iter =  58300
training @ iter =  58400
training @ iter =  58500
training @ iter =  58600
training @ iter =  58700
training @ iter =  58800
training @ iter =  58900
training @ iter =  59000
training @ iter =  59100
training @ iter =  59200
training @ iter =  59300
training @ iter =  59400
epoch 17, minibatch 3500/3500, validation error 0.540000 %
     epoch 17, minibatch 3500/3500, test error of best model 0.460000 %
training @ iter =  59500
training @ iter =  59600
training @ iter =  59700
training @ iter =  59800
training @ iter =  59900
training @ iter =  60000
training @ iter =  60100
training @ iter =  60200
training @ iter =  60300
training @ iter =  60400
training @ iter =  60500
training @ iter =  60600
training @ iter =  60700
training @ iter =  60800
training @ iter =  60900
training @ iter =  61000
training @ iter =  61100
training @ iter =  61200
training @ iter =  61300
training @ iter =  61400
training @ iter =  61500
training @ iter =  61600
training @ iter =  61700
training @ iter =  61800
training @ iter =  61900
training @ iter =  62000
training @ iter =  62100
training @ iter =  62200
training @ iter =  62300
training @ iter =  62400
training @ iter =  62500
training @ iter =  62600
training @ iter =  62700
training @ iter =  62800
training @ iter =  62900
epoch 18, minibatch 3500/3500, validation error 0.530000 %
     epoch 18, minibatch 3500/3500, test error of best model 0.470000 %
training @ iter =  63000
training @ iter =  63100
training @ iter =  63200
training @ iter =  63300
training @ iter =  63400
training @ iter =  63500
training @ iter =  63600
training @ iter =  63700
training @ iter =  63800
training @ iter =  63900
training @ iter =  64000
training @ iter =  64100
training @ iter =  64200
training @ iter =  64300
training @ iter =  64400
training @ iter =  64500
training @ iter =  64600
training @ iter =  64700
training @ iter =  64800
training @ iter =  64900
training @ iter =  65000
training @ iter =  65100
training @ iter =  65200
training @ iter =  65300
training @ iter =  65400
training @ iter =  65500
training @ iter =  65600
training @ iter =  65700
training @ iter =  65800
training @ iter =  65900
training @ iter =  66000
training @ iter =  66100
training @ iter =  66200
training @ iter =  66300
training @ iter =  66400
epoch 19, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  66500
training @ iter =  66600
training @ iter =  66700
training @ iter =  66800
training @ iter =  66900
training @ iter =  67000
training @ iter =  67100
training @ iter =  67200
training @ iter =  67300
training @ iter =  67400
training @ iter =  67500
training @ iter =  67600
training @ iter =  67700
training @ iter =  67800
training @ iter =  67900
training @ iter =  68000
training @ iter =  68100
training @ iter =  68200
training @ iter =  68300
training @ iter =  68400
training @ iter =  68500
training @ iter =  68600
training @ iter =  68700
training @ iter =  68800
training @ iter =  68900
training @ iter =  69000
training @ iter =  69100
training @ iter =  69200
training @ iter =  69300
training @ iter =  69400
training @ iter =  69500
training @ iter =  69600
training @ iter =  69700
training @ iter =  69800
training @ iter =  69900
epoch 20, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  70000
training @ iter =  70100
training @ iter =  70200
training @ iter =  70300
training @ iter =  70400
training @ iter =  70500
training @ iter =  70600
training @ iter =  70700
training @ iter =  70800
training @ iter =  70900
training @ iter =  71000
training @ iter =  71100
training @ iter =  71200
training @ iter =  71300
training @ iter =  71400
training @ iter =  71500
training @ iter =  71600
training @ iter =  71700
training @ iter =  71800
training @ iter =  71900
training @ iter =  72000
training @ iter =  72100
training @ iter =  72200
training @ iter =  72300
training @ iter =  72400
training @ iter =  72500
training @ iter =  72600
training @ iter =  72700
training @ iter =  72800
training @ iter =  72900
training @ iter =  73000
training @ iter =  73100
training @ iter =  73200
training @ iter =  73300
training @ iter =  73400
epoch 21, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  73500
training @ iter =  73600
training @ iter =  73700
training @ iter =  73800
training @ iter =  73900
training @ iter =  74000
training @ iter =  74100
training @ iter =  74200
training @ iter =  74300
training @ iter =  74400
training @ iter =  74500
training @ iter =  74600
training @ iter =  74700
training @ iter =  74800
training @ iter =  74900
training @ iter =  75000
training @ iter =  75100
training @ iter =  75200
training @ iter =  75300
training @ iter =  75400
training @ iter =  75500
training @ iter =  75600
training @ iter =  75700
training @ iter =  75800
training @ iter =  75900
training @ iter =  76000
training @ iter =  76100
training @ iter =  76200
training @ iter =  76300
training @ iter =  76400
training @ iter =  76500
training @ iter =  76600
training @ iter =  76700
training @ iter =  76800
training @ iter =  76900
epoch 22, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  77000
training @ iter =  77100
training @ iter =  77200
training @ iter =  77300
training @ iter =  77400
training @ iter =  77500
training @ iter =  77600
training @ iter =  77700
training @ iter =  77800
training @ iter =  77900
training @ iter =  78000
training @ iter =  78100
training @ iter =  78200
training @ iter =  78300
training @ iter =  78400
training @ iter =  78500
training @ iter =  78600
training @ iter =  78700
training @ iter =  78800
training @ iter =  78900
training @ iter =  79000
training @ iter =  79100
training @ iter =  79200
training @ iter =  79300
training @ iter =  79400
training @ iter =  79500
training @ iter =  79600
training @ iter =  79700
training @ iter =  79800
training @ iter =  79900
training @ iter =  80000
training @ iter =  80100
training @ iter =  80200
training @ iter =  80300
training @ iter =  80400
epoch 23, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  80500
training @ iter =  80600
training @ iter =  80700
training @ iter =  80800
training @ iter =  80900
training @ iter =  81000
training @ iter =  81100
training @ iter =  81200
training @ iter =  81300
training @ iter =  81400
training @ iter =  81500
training @ iter =  81600
training @ iter =  81700
training @ iter =  81800
training @ iter =  81900
training @ iter =  82000
training @ iter =  82100
training @ iter =  82200
training @ iter =  82300
training @ iter =  82400
training @ iter =  82500
training @ iter =  82600
training @ iter =  82700
training @ iter =  82800
training @ iter =  82900
training @ iter =  83000
training @ iter =  83100
training @ iter =  83200
training @ iter =  83300
training @ iter =  83400
training @ iter =  83500
training @ iter =  83600
training @ iter =  83700
training @ iter =  83800
training @ iter =  83900
epoch 24, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  84000
training @ iter =  84100
training @ iter =  84200
training @ iter =  84300
training @ iter =  84400
training @ iter =  84500
training @ iter =  84600
training @ iter =  84700
training @ iter =  84800
training @ iter =  84900
training @ iter =  85000
training @ iter =  85100
training @ iter =  85200
training @ iter =  85300
training @ iter =  85400
training @ iter =  85500
training @ iter =  85600
training @ iter =  85700
training @ iter =  85800
training @ iter =  85900
training @ iter =  86000
training @ iter =  86100
training @ iter =  86200
training @ iter =  86300
training @ iter =  86400
training @ iter =  86500
training @ iter =  86600
training @ iter =  86700
training @ iter =  86800
training @ iter =  86900
training @ iter =  87000
training @ iter =  87100
training @ iter =  87200
training @ iter =  87300
training @ iter =  87400
epoch 25, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  87500
training @ iter =  87600
training @ iter =  87700
training @ iter =  87800
training @ iter =  87900
training @ iter =  88000
training @ iter =  88100
training @ iter =  88200
training @ iter =  88300
training @ iter =  88400
training @ iter =  88500
training @ iter =  88600
training @ iter =  88700
training @ iter =  88800
training @ iter =  88900
training @ iter =  89000
training @ iter =  89100
training @ iter =  89200
training @ iter =  89300
training @ iter =  89400
training @ iter =  89500
training @ iter =  89600
training @ iter =  89700
training @ iter =  89800
training @ iter =  89900
training @ iter =  90000
training @ iter =  90100
training @ iter =  90200
training @ iter =  90300
training @ iter =  90400
training @ iter =  90500
training @ iter =  90600
training @ iter =  90700
training @ iter =  90800
training @ iter =  90900
epoch 26, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  91000
training @ iter =  91100
training @ iter =  91200
training @ iter =  91300
training @ iter =  91400
training @ iter =  91500
training @ iter =  91600
training @ iter =  91700
training @ iter =  91800
training @ iter =  91900
training @ iter =  92000
training @ iter =  92100
training @ iter =  92200
training @ iter =  92300
training @ iter =  92400
training @ iter =  92500
training @ iter =  92600
training @ iter =  92700
training @ iter =  92800
training @ iter =  92900
training @ iter =  93000
training @ iter =  93100
training @ iter =  93200
training @ iter =  93300
training @ iter =  93400
training @ iter =  93500
training @ iter =  93600
training @ iter =  93700
training @ iter =  93800
training @ iter =  93900
training @ iter =  94000
training @ iter =  94100
training @ iter =  94200
training @ iter =  94300
training @ iter =  94400
epoch 27, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  94500
training @ iter =  94600
training @ iter =  94700
training @ iter =  94800
training @ iter =  94900
training @ iter =  95000
training @ iter =  95100
training @ iter =  95200
training @ iter =  95300
training @ iter =  95400
training @ iter =  95500
training @ iter =  95600
training @ iter =  95700
training @ iter =  95800
training @ iter =  95900
training @ iter =  96000
training @ iter =  96100
training @ iter =  96200
training @ iter =  96300
training @ iter =  96400
training @ iter =  96500
training @ iter =  96600
training @ iter =  96700
training @ iter =  96800
training @ iter =  96900
training @ iter =  97000
training @ iter =  97100
training @ iter =  97200
training @ iter =  97300
training @ iter =  97400
training @ iter =  97500
training @ iter =  97600
training @ iter =  97700
training @ iter =  97800
training @ iter =  97900
epoch 28, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  98000
training @ iter =  98100
training @ iter =  98200
training @ iter =  98300
training @ iter =  98400
training @ iter =  98500
training @ iter =  98600
training @ iter =  98700
training @ iter =  98800
training @ iter =  98900
training @ iter =  99000
training @ iter =  99100
training @ iter =  99200
training @ iter =  99300
training @ iter =  99400
training @ iter =  99500
training @ iter =  99600
training @ iter =  99700
training @ iter =  99800
training @ iter =  99900
training @ iter =  100000
training @ iter =  100100
training @ iter =  100200
training @ iter =  100300
training @ iter =  100400
training @ iter =  100500
training @ iter =  100600
training @ iter =  100700
training @ iter =  100800
training @ iter =  100900
training @ iter =  101000
training @ iter =  101100
training @ iter =  101200
training @ iter =  101300
training @ iter =  101400
epoch 29, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  101500
training @ iter =  101600
training @ iter =  101700
training @ iter =  101800
training @ iter =  101900
training @ iter =  102000
training @ iter =  102100
training @ iter =  102200
training @ iter =  102300
training @ iter =  102400
training @ iter =  102500
training @ iter =  102600
training @ iter =  102700
training @ iter =  102800
training @ iter =  102900
training @ iter =  103000
training @ iter =  103100
training @ iter =  103200
training @ iter =  103300
training @ iter =  103400
training @ iter =  103500
training @ iter =  103600
training @ iter =  103700
training @ iter =  103800
training @ iter =  103900
training @ iter =  104000
training @ iter =  104100
training @ iter =  104200
training @ iter =  104300
training @ iter =  104400
training @ iter =  104500
training @ iter =  104600
training @ iter =  104700
training @ iter =  104800
training @ iter =  104900
epoch 30, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  105000
training @ iter =  105100
training @ iter =  105200
training @ iter =  105300
training @ iter =  105400
training @ iter =  105500
training @ iter =  105600
training @ iter =  105700
training @ iter =  105800
training @ iter =  105900
training @ iter =  106000
training @ iter =  106100
training @ iter =  106200
training @ iter =  106300
training @ iter =  106400
training @ iter =  106500
training @ iter =  106600
training @ iter =  106700
training @ iter =  106800
training @ iter =  106900
training @ iter =  107000
training @ iter =  107100
training @ iter =  107200
training @ iter =  107300
training @ iter =  107400
training @ iter =  107500
training @ iter =  107600
training @ iter =  107700
training @ iter =  107800
training @ iter =  107900
training @ iter =  108000
training @ iter =  108100
training @ iter =  108200
training @ iter =  108300
training @ iter =  108400
epoch 31, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  108500
training @ iter =  108600
training @ iter =  108700
training @ iter =  108800
training @ iter =  108900
training @ iter =  109000
training @ iter =  109100
training @ iter =  109200
training @ iter =  109300
training @ iter =  109400
training @ iter =  109500
training @ iter =  109600
training @ iter =  109700
training @ iter =  109800
training @ iter =  109900
training @ iter =  110000
training @ iter =  110100
training @ iter =  110200
training @ iter =  110300
training @ iter =  110400
training @ iter =  110500
training @ iter =  110600
training @ iter =  110700
training @ iter =  110800
training @ iter =  110900
training @ iter =  111000
training @ iter =  111100
training @ iter =  111200
training @ iter =  111300
training @ iter =  111400
training @ iter =  111500
training @ iter =  111600
training @ iter =  111700
training @ iter =  111800
training @ iter =  111900
epoch 32, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  112000
training @ iter =  112100
training @ iter =  112200
training @ iter =  112300
training @ iter =  112400
training @ iter =  112500
training @ iter =  112600
training @ iter =  112700
training @ iter =  112800
training @ iter =  112900
training @ iter =  113000
training @ iter =  113100
training @ iter =  113200
training @ iter =  113300
training @ iter =  113400
training @ iter =  113500
training @ iter =  113600
training @ iter =  113700
training @ iter =  113800
training @ iter =  113900
training @ iter =  114000
training @ iter =  114100
training @ iter =  114200
training @ iter =  114300
training @ iter =  114400
training @ iter =  114500
training @ iter =  114600
training @ iter =  114700
training @ iter =  114800
training @ iter =  114900
training @ iter =  115000
training @ iter =  115100
training @ iter =  115200
training @ iter =  115300
training @ iter =  115400
epoch 33, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  115500
training @ iter =  115600
training @ iter =  115700
training @ iter =  115800
training @ iter =  115900
training @ iter =  116000
training @ iter =  116100
training @ iter =  116200
training @ iter =  116300
training @ iter =  116400
training @ iter =  116500
training @ iter =  116600
training @ iter =  116700
training @ iter =  116800
training @ iter =  116900
training @ iter =  117000
training @ iter =  117100
training @ iter =  117200
training @ iter =  117300
training @ iter =  117400
training @ iter =  117500
training @ iter =  117600
training @ iter =  117700
training @ iter =  117800
training @ iter =  117900
training @ iter =  118000
training @ iter =  118100
training @ iter =  118200
training @ iter =  118300
training @ iter =  118400
training @ iter =  118500
training @ iter =  118600
training @ iter =  118700
training @ iter =  118800
training @ iter =  118900
epoch 34, minibatch 3500/3500, validation error 0.540000 %
training @ iter =  119000
training @ iter =  119100
training @ iter =  119200
training @ iter =  119300
training @ iter =  119400
training @ iter =  119500
training @ iter =  119600
training @ iter =  119700
training @ iter =  119800
training @ iter =  119900
training @ iter =  120000
training @ iter =  120100
training @ iter =  120200
training @ iter =  120300
training @ iter =  120400
training @ iter =  120500
training @ iter =  120600
training @ iter =  120700
training @ iter =  120800
training @ iter =  120900
training @ iter =  121000
training @ iter =  121100
training @ iter =  121200
training @ iter =  121300
training @ iter =  121400
training @ iter =  121500
training @ iter =  121600
training @ iter =  121700
training @ iter =  121800
training @ iter =  121900
training @ iter =  122000
training @ iter =  122100
training @ iter =  122200
training @ iter =  122300
training @ iter =  122400
epoch 35, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  122500
training @ iter =  122600
training @ iter =  122700
training @ iter =  122800
training @ iter =  122900
training @ iter =  123000
training @ iter =  123100
training @ iter =  123200
training @ iter =  123300
training @ iter =  123400
training @ iter =  123500
training @ iter =  123600
training @ iter =  123700
training @ iter =  123800
training @ iter =  123900
training @ iter =  124000
training @ iter =  124100
training @ iter =  124200
training @ iter =  124300
training @ iter =  124400
training @ iter =  124500
training @ iter =  124600
training @ iter =  124700
training @ iter =  124800
training @ iter =  124900
training @ iter =  125000
training @ iter =  125100
training @ iter =  125200
training @ iter =  125300
training @ iter =  125400
training @ iter =  125500
training @ iter =  125600
training @ iter =  125700
training @ iter =  125800
training @ iter =  125900
Optimization complete.
Best validation score of 0.530000 % obtained at iteration 63000, with test performance 0.470000 %
Saving Model as "mcdnn_slice1_dsmnist_elastic_4_34_nm12_trail0_time_1448530395"...
... train 0 column of normalization 14
... num_epochs 400
... loading data
Loaded DS on RAM
... normalizing digits to width 14 with extra padding 1
... sharing data
... building the dnn column
... training
training @ iter =  0
training @ iter =  100
training @ iter =  200
training @ iter =  300
training @ iter =  400
training @ iter =  500
training @ iter =  600
training @ iter =  700
training @ iter =  800
training @ iter =  900
training @ iter =  1000
training @ iter =  1100
training @ iter =  1200
training @ iter =  1300
training @ iter =  1400
training @ iter =  1500
training @ iter =  1600
training @ iter =  1700
training @ iter =  1800
training @ iter =  1900
training @ iter =  2000
training @ iter =  2100
training @ iter =  2200
training @ iter =  2300
training @ iter =  2400
training @ iter =  2500
training @ iter =  2600
training @ iter =  2700
training @ iter =  2800
training @ iter =  2900
training @ iter =  3000
training @ iter =  3100
training @ iter =  3200
training @ iter =  3300
training @ iter =  3400
epoch 1, minibatch 3500/3500, validation error 1.470000 %
     epoch 1, minibatch 3500/3500, test error of best model 1.340000 %
training @ iter =  3500
training @ iter =  3600
training @ iter =  3700
training @ iter =  3800
training @ iter =  3900
training @ iter =  4000
training @ iter =  4100
training @ iter =  4200
training @ iter =  4300
training @ iter =  4400
training @ iter =  4500
training @ iter =  4600
training @ iter =  4700
training @ iter =  4800
training @ iter =  4900
training @ iter =  5000
training @ iter =  5100
training @ iter =  5200
training @ iter =  5300
training @ iter =  5400
training @ iter =  5500
training @ iter =  5600
training @ iter =  5700
training @ iter =  5800
training @ iter =  5900
training @ iter =  6000
training @ iter =  6100
training @ iter =  6200
training @ iter =  6300
training @ iter =  6400
training @ iter =  6500
training @ iter =  6600
training @ iter =  6700
training @ iter =  6800
training @ iter =  6900
epoch 2, minibatch 3500/3500, validation error 1.080000 %
     epoch 2, minibatch 3500/3500, test error of best model 0.920000 %
training @ iter =  7000
training @ iter =  7100
training @ iter =  7200
training @ iter =  7300
training @ iter =  7400
training @ iter =  7500
training @ iter =  7600
training @ iter =  7700
training @ iter =  7800
training @ iter =  7900
training @ iter =  8000
training @ iter =  8100
training @ iter =  8200
training @ iter =  8300
training @ iter =  8400
training @ iter =  8500
training @ iter =  8600
training @ iter =  8700
training @ iter =  8800
training @ iter =  8900
training @ iter =  9000
training @ iter =  9100
training @ iter =  9200
training @ iter =  9300
training @ iter =  9400
training @ iter =  9500
training @ iter =  9600
training @ iter =  9700
training @ iter =  9800
training @ iter =  9900
training @ iter =  10000
training @ iter =  10100
training @ iter =  10200
training @ iter =  10300
training @ iter =  10400
epoch 3, minibatch 3500/3500, validation error 0.900000 %
     epoch 3, minibatch 3500/3500, test error of best model 0.760000 %
training @ iter =  10500
training @ iter =  10600
training @ iter =  10700
training @ iter =  10800
training @ iter =  10900
training @ iter =  11000
training @ iter =  11100
training @ iter =  11200
training @ iter =  11300
training @ iter =  11400
training @ iter =  11500
training @ iter =  11600
training @ iter =  11700
training @ iter =  11800
training @ iter =  11900
training @ iter =  12000
training @ iter =  12100
training @ iter =  12200
training @ iter =  12300
training @ iter =  12400
training @ iter =  12500
training @ iter =  12600
training @ iter =  12700
training @ iter =  12800
training @ iter =  12900
training @ iter =  13000
training @ iter =  13100
training @ iter =  13200
training @ iter =  13300
training @ iter =  13400
training @ iter =  13500
training @ iter =  13600
training @ iter =  13700
training @ iter =  13800
training @ iter =  13900
epoch 4, minibatch 3500/3500, validation error 0.860000 %
     epoch 4, minibatch 3500/3500, test error of best model 0.730000 %
training @ iter =  14000
training @ iter =  14100
training @ iter =  14200
training @ iter =  14300
training @ iter =  14400
training @ iter =  14500
training @ iter =  14600
training @ iter =  14700
training @ iter =  14800
training @ iter =  14900
training @ iter =  15000
training @ iter =  15100
training @ iter =  15200
training @ iter =  15300
training @ iter =  15400
training @ iter =  15500
training @ iter =  15600
training @ iter =  15700
training @ iter =  15800
training @ iter =  15900
training @ iter =  16000
training @ iter =  16100
training @ iter =  16200
training @ iter =  16300
training @ iter =  16400
training @ iter =  16500
training @ iter =  16600
training @ iter =  16700
training @ iter =  16800
training @ iter =  16900
training @ iter =  17000
training @ iter =  17100
training @ iter =  17200
training @ iter =  17300
training @ iter =  17400
epoch 5, minibatch 3500/3500, validation error 0.750000 %
     epoch 5, minibatch 3500/3500, test error of best model 0.670000 %
training @ iter =  17500
training @ iter =  17600
training @ iter =  17700
training @ iter =  17800
training @ iter =  17900
training @ iter =  18000
training @ iter =  18100
training @ iter =  18200
training @ iter =  18300
training @ iter =  18400
training @ iter =  18500
training @ iter =  18600
training @ iter =  18700
training @ iter =  18800
training @ iter =  18900
training @ iter =  19000
training @ iter =  19100
training @ iter =  19200
training @ iter =  19300
training @ iter =  19400
training @ iter =  19500
training @ iter =  19600
training @ iter =  19700
training @ iter =  19800
training @ iter =  19900
training @ iter =  20000
training @ iter =  20100
training @ iter =  20200
training @ iter =  20300
training @ iter =  20400
training @ iter =  20500
training @ iter =  20600
training @ iter =  20700
training @ iter =  20800
training @ iter =  20900
epoch 6, minibatch 3500/3500, validation error 0.770000 %
training @ iter =  21000
training @ iter =  21100
training @ iter =  21200
training @ iter =  21300
training @ iter =  21400
training @ iter =  21500
training @ iter =  21600
training @ iter =  21700
training @ iter =  21800
training @ iter =  21900
training @ iter =  22000
training @ iter =  22100
training @ iter =  22200
training @ iter =  22300
training @ iter =  22400
training @ iter =  22500
training @ iter =  22600
training @ iter =  22700
training @ iter =  22800
training @ iter =  22900
training @ iter =  23000
training @ iter =  23100
training @ iter =  23200
training @ iter =  23300
training @ iter =  23400
training @ iter =  23500
training @ iter =  23600
training @ iter =  23700
training @ iter =  23800
training @ iter =  23900
training @ iter =  24000
training @ iter =  24100
training @ iter =  24200
training @ iter =  24300
training @ iter =  24400
epoch 7, minibatch 3500/3500, validation error 0.710000 %
     epoch 7, minibatch 3500/3500, test error of best model 0.610000 %
training @ iter =  24500
training @ iter =  24600
training @ iter =  24700
training @ iter =  24800
training @ iter =  24900
training @ iter =  25000
training @ iter =  25100
training @ iter =  25200
training @ iter =  25300
training @ iter =  25400
training @ iter =  25500
training @ iter =  25600
training @ iter =  25700
training @ iter =  25800
training @ iter =  25900
training @ iter =  26000
training @ iter =  26100
training @ iter =  26200
training @ iter =  26300
training @ iter =  26400
training @ iter =  26500
training @ iter =  26600
training @ iter =  26700
training @ iter =  26800
training @ iter =  26900
training @ iter =  27000
training @ iter =  27100
training @ iter =  27200
training @ iter =  27300
training @ iter =  27400
training @ iter =  27500
training @ iter =  27600
training @ iter =  27700
training @ iter =  27800
training @ iter =  27900
epoch 8, minibatch 3500/3500, validation error 0.710000 %
training @ iter =  28000
training @ iter =  28100
training @ iter =  28200
training @ iter =  28300
training @ iter =  28400
training @ iter =  28500
training @ iter =  28600
training @ iter =  28700
training @ iter =  28800
training @ iter =  28900
training @ iter =  29000
training @ iter =  29100
training @ iter =  29200
training @ iter =  29300
training @ iter =  29400
training @ iter =  29500
training @ iter =  29600
training @ iter =  29700
training @ iter =  29800
training @ iter =  29900
training @ iter =  30000
training @ iter =  30100
training @ iter =  30200
training @ iter =  30300
training @ iter =  30400
training @ iter =  30500
training @ iter =  30600
training @ iter =  30700
training @ iter =  30800
training @ iter =  30900
training @ iter =  31000
training @ iter =  31100
training @ iter =  31200
training @ iter =  31300
training @ iter =  31400
epoch 9, minibatch 3500/3500, validation error 0.710000 %
training @ iter =  31500
training @ iter =  31600
training @ iter =  31700
training @ iter =  31800
training @ iter =  31900
training @ iter =  32000
training @ iter =  32100
training @ iter =  32200
training @ iter =  32300
training @ iter =  32400
training @ iter =  32500
training @ iter =  32600
training @ iter =  32700
training @ iter =  32800
training @ iter =  32900
training @ iter =  33000
training @ iter =  33100
training @ iter =  33200
training @ iter =  33300
training @ iter =  33400
training @ iter =  33500
training @ iter =  33600
training @ iter =  33700
training @ iter =  33800
training @ iter =  33900
training @ iter =  34000
training @ iter =  34100
training @ iter =  34200
training @ iter =  34300
training @ iter =  34400
training @ iter =  34500
training @ iter =  34600
training @ iter =  34700
training @ iter =  34800
training @ iter =  34900
epoch 10, minibatch 3500/3500, validation error 0.700000 %
     epoch 10, minibatch 3500/3500, test error of best model 0.600000 %
training @ iter =  35000
training @ iter =  35100
training @ iter =  35200
training @ iter =  35300
training @ iter =  35400
training @ iter =  35500
training @ iter =  35600
training @ iter =  35700
training @ iter =  35800
training @ iter =  35900
training @ iter =  36000
training @ iter =  36100
training @ iter =  36200
training @ iter =  36300
training @ iter =  36400
training @ iter =  36500
training @ iter =  36600
training @ iter =  36700
training @ iter =  36800
training @ iter =  36900
training @ iter =  37000
training @ iter =  37100
training @ iter =  37200
training @ iter =  37300
training @ iter =  37400
training @ iter =  37500
training @ iter =  37600
training @ iter =  37700
training @ iter =  37800
training @ iter =  37900
training @ iter =  38000
training @ iter =  38100
training @ iter =  38200
training @ iter =  38300
training @ iter =  38400
epoch 11, minibatch 3500/3500, validation error 0.670000 %
     epoch 11, minibatch 3500/3500, test error of best model 0.600000 %
training @ iter =  38500
training @ iter =  38600
training @ iter =  38700
training @ iter =  38800
training @ iter =  38900
training @ iter =  39000
training @ iter =  39100
training @ iter =  39200
training @ iter =  39300
training @ iter =  39400
training @ iter =  39500
training @ iter =  39600
training @ iter =  39700
training @ iter =  39800
training @ iter =  39900
training @ iter =  40000
training @ iter =  40100
training @ iter =  40200
training @ iter =  40300
training @ iter =  40400
training @ iter =  40500
training @ iter =  40600
training @ iter =  40700
training @ iter =  40800
training @ iter =  40900
training @ iter =  41000
training @ iter =  41100
training @ iter =  41200
training @ iter =  41300
training @ iter =  41400
training @ iter =  41500
training @ iter =  41600
training @ iter =  41700
training @ iter =  41800
training @ iter =  41900
epoch 12, minibatch 3500/3500, validation error 0.660000 %
     epoch 12, minibatch 3500/3500, test error of best model 0.590000 %
training @ iter =  42000
training @ iter =  42100
training @ iter =  42200
training @ iter =  42300
training @ iter =  42400
training @ iter =  42500
training @ iter =  42600
training @ iter =  42700
training @ iter =  42800
training @ iter =  42900
training @ iter =  43000
training @ iter =  43100
training @ iter =  43200
training @ iter =  43300
training @ iter =  43400
training @ iter =  43500
training @ iter =  43600
training @ iter =  43700
training @ iter =  43800
training @ iter =  43900
training @ iter =  44000
training @ iter =  44100
training @ iter =  44200
training @ iter =  44300
training @ iter =  44400
training @ iter =  44500
training @ iter =  44600
training @ iter =  44700
training @ iter =  44800
training @ iter =  44900
training @ iter =  45000
training @ iter =  45100
training @ iter =  45200
training @ iter =  45300
training @ iter =  45400
epoch 13, minibatch 3500/3500, validation error 0.630000 %
     epoch 13, minibatch 3500/3500, test error of best model 0.590000 %
training @ iter =  45500
training @ iter =  45600
training @ iter =  45700
training @ iter =  45800
training @ iter =  45900
training @ iter =  46000
training @ iter =  46100
training @ iter =  46200
training @ iter =  46300
training @ iter =  46400
training @ iter =  46500
training @ iter =  46600
training @ iter =  46700
training @ iter =  46800
training @ iter =  46900
training @ iter =  47000
training @ iter =  47100
training @ iter =  47200
training @ iter =  47300
training @ iter =  47400
training @ iter =  47500
training @ iter =  47600
training @ iter =  47700
training @ iter =  47800
training @ iter =  47900
training @ iter =  48000
training @ iter =  48100
training @ iter =  48200
training @ iter =  48300
training @ iter =  48400
training @ iter =  48500
training @ iter =  48600
training @ iter =  48700
training @ iter =  48800
training @ iter =  48900
epoch 14, minibatch 3500/3500, validation error 0.610000 %
     epoch 14, minibatch 3500/3500, test error of best model 0.570000 %
training @ iter =  49000
training @ iter =  49100
training @ iter =  49200
training @ iter =  49300
training @ iter =  49400
training @ iter =  49500
training @ iter =  49600
training @ iter =  49700
training @ iter =  49800
training @ iter =  49900
training @ iter =  50000
training @ iter =  50100
training @ iter =  50200
training @ iter =  50300
training @ iter =  50400
training @ iter =  50500
training @ iter =  50600
training @ iter =  50700
training @ iter =  50800
training @ iter =  50900
training @ iter =  51000
training @ iter =  51100
training @ iter =  51200
training @ iter =  51300
training @ iter =  51400
training @ iter =  51500
training @ iter =  51600
training @ iter =  51700
training @ iter =  51800
training @ iter =  51900
training @ iter =  52000
training @ iter =  52100
training @ iter =  52200
training @ iter =  52300
training @ iter =  52400
epoch 15, minibatch 3500/3500, validation error 0.590000 %
     epoch 15, minibatch 3500/3500, test error of best model 0.570000 %
training @ iter =  52500
training @ iter =  52600
training @ iter =  52700
training @ iter =  52800
training @ iter =  52900
training @ iter =  53000
training @ iter =  53100
training @ iter =  53200
training @ iter =  53300
training @ iter =  53400
training @ iter =  53500
training @ iter =  53600
training @ iter =  53700
training @ iter =  53800
training @ iter =  53900
training @ iter =  54000
training @ iter =  54100
training @ iter =  54200
training @ iter =  54300
training @ iter =  54400
training @ iter =  54500
training @ iter =  54600
training @ iter =  54700
training @ iter =  54800
training @ iter =  54900
training @ iter =  55000
training @ iter =  55100
training @ iter =  55200
training @ iter =  55300
training @ iter =  55400
training @ iter =  55500
training @ iter =  55600
training @ iter =  55700
training @ iter =  55800
training @ iter =  55900
epoch 16, minibatch 3500/3500, validation error 0.570000 %
     epoch 16, minibatch 3500/3500, test error of best model 0.570000 %
training @ iter =  56000
training @ iter =  56100
training @ iter =  56200
training @ iter =  56300
training @ iter =  56400
training @ iter =  56500
training @ iter =  56600
training @ iter =  56700
training @ iter =  56800
training @ iter =  56900
training @ iter =  57000
training @ iter =  57100
training @ iter =  57200
training @ iter =  57300
training @ iter =  57400
training @ iter =  57500
training @ iter =  57600
training @ iter =  57700
training @ iter =  57800
training @ iter =  57900
training @ iter =  58000
training @ iter =  58100
training @ iter =  58200
training @ iter =  58300
training @ iter =  58400
training @ iter =  58500
training @ iter =  58600
training @ iter =  58700
training @ iter =  58800
training @ iter =  58900
training @ iter =  59000
training @ iter =  59100
training @ iter =  59200
training @ iter =  59300
training @ iter =  59400
epoch 17, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  59500
training @ iter =  59600
training @ iter =  59700
training @ iter =  59800
training @ iter =  59900
training @ iter =  60000
training @ iter =  60100
training @ iter =  60200
training @ iter =  60300
training @ iter =  60400
training @ iter =  60500
training @ iter =  60600
training @ iter =  60700
training @ iter =  60800
training @ iter =  60900
training @ iter =  61000
training @ iter =  61100
training @ iter =  61200
training @ iter =  61300
training @ iter =  61400
training @ iter =  61500
training @ iter =  61600
training @ iter =  61700
training @ iter =  61800
training @ iter =  61900
training @ iter =  62000
training @ iter =  62100
training @ iter =  62200
training @ iter =  62300
training @ iter =  62400
training @ iter =  62500
training @ iter =  62600
training @ iter =  62700
training @ iter =  62800
training @ iter =  62900
epoch 18, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  63000
training @ iter =  63100
training @ iter =  63200
training @ iter =  63300
training @ iter =  63400
training @ iter =  63500
training @ iter =  63600
training @ iter =  63700
training @ iter =  63800
training @ iter =  63900
training @ iter =  64000
training @ iter =  64100
training @ iter =  64200
training @ iter =  64300
training @ iter =  64400
training @ iter =  64500
training @ iter =  64600
training @ iter =  64700
training @ iter =  64800
training @ iter =  64900
training @ iter =  65000
training @ iter =  65100
training @ iter =  65200
training @ iter =  65300
training @ iter =  65400
training @ iter =  65500
training @ iter =  65600
training @ iter =  65700
training @ iter =  65800
training @ iter =  65900
training @ iter =  66000
training @ iter =  66100
training @ iter =  66200
training @ iter =  66300
training @ iter =  66400
epoch 19, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  66500
training @ iter =  66600
training @ iter =  66700
training @ iter =  66800
training @ iter =  66900
training @ iter =  67000
training @ iter =  67100
training @ iter =  67200
training @ iter =  67300
training @ iter =  67400
training @ iter =  67500
training @ iter =  67600
training @ iter =  67700
training @ iter =  67800
training @ iter =  67900
training @ iter =  68000
training @ iter =  68100
training @ iter =  68200
training @ iter =  68300
training @ iter =  68400
training @ iter =  68500
training @ iter =  68600
training @ iter =  68700
training @ iter =  68800
training @ iter =  68900
training @ iter =  69000
training @ iter =  69100
training @ iter =  69200
training @ iter =  69300
training @ iter =  69400
training @ iter =  69500
training @ iter =  69600
training @ iter =  69700
training @ iter =  69800
training @ iter =  69900
epoch 20, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  70000
training @ iter =  70100
training @ iter =  70200
training @ iter =  70300
training @ iter =  70400
training @ iter =  70500
training @ iter =  70600
training @ iter =  70700
training @ iter =  70800
training @ iter =  70900
training @ iter =  71000
training @ iter =  71100
training @ iter =  71200
training @ iter =  71300
training @ iter =  71400
training @ iter =  71500
training @ iter =  71600
training @ iter =  71700
training @ iter =  71800
training @ iter =  71900
training @ iter =  72000
training @ iter =  72100
training @ iter =  72200
training @ iter =  72300
training @ iter =  72400
training @ iter =  72500
training @ iter =  72600
training @ iter =  72700
training @ iter =  72800
training @ iter =  72900
training @ iter =  73000
training @ iter =  73100
training @ iter =  73200
training @ iter =  73300
training @ iter =  73400
epoch 21, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  73500
training @ iter =  73600
training @ iter =  73700
training @ iter =  73800
training @ iter =  73900
training @ iter =  74000
training @ iter =  74100
training @ iter =  74200
training @ iter =  74300
training @ iter =  74400
training @ iter =  74500
training @ iter =  74600
training @ iter =  74700
training @ iter =  74800
training @ iter =  74900
training @ iter =  75000
training @ iter =  75100
training @ iter =  75200
training @ iter =  75300
training @ iter =  75400
training @ iter =  75500
training @ iter =  75600
training @ iter =  75700
training @ iter =  75800
training @ iter =  75900
training @ iter =  76000
training @ iter =  76100
training @ iter =  76200
training @ iter =  76300
training @ iter =  76400
training @ iter =  76500
training @ iter =  76600
training @ iter =  76700
training @ iter =  76800
training @ iter =  76900
epoch 22, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  77000
training @ iter =  77100
training @ iter =  77200
training @ iter =  77300
training @ iter =  77400
training @ iter =  77500
training @ iter =  77600
training @ iter =  77700
training @ iter =  77800
training @ iter =  77900
training @ iter =  78000
training @ iter =  78100
training @ iter =  78200
training @ iter =  78300
training @ iter =  78400
training @ iter =  78500
training @ iter =  78600
training @ iter =  78700
training @ iter =  78800
training @ iter =  78900
training @ iter =  79000
training @ iter =  79100
training @ iter =  79200
training @ iter =  79300
training @ iter =  79400
training @ iter =  79500
training @ iter =  79600
training @ iter =  79700
training @ iter =  79800
training @ iter =  79900
training @ iter =  80000
training @ iter =  80100
training @ iter =  80200
training @ iter =  80300
training @ iter =  80400
epoch 23, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  80500
training @ iter =  80600
training @ iter =  80700
training @ iter =  80800
training @ iter =  80900
training @ iter =  81000
training @ iter =  81100
training @ iter =  81200
training @ iter =  81300
training @ iter =  81400
training @ iter =  81500
training @ iter =  81600
training @ iter =  81700
training @ iter =  81800
training @ iter =  81900
training @ iter =  82000
training @ iter =  82100
training @ iter =  82200
training @ iter =  82300
training @ iter =  82400
training @ iter =  82500
training @ iter =  82600
training @ iter =  82700
training @ iter =  82800
training @ iter =  82900
training @ iter =  83000
training @ iter =  83100
training @ iter =  83200
training @ iter =  83300
training @ iter =  83400
training @ iter =  83500
training @ iter =  83600
training @ iter =  83700
training @ iter =  83800
training @ iter =  83900
epoch 24, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  84000
training @ iter =  84100
training @ iter =  84200
training @ iter =  84300
training @ iter =  84400
training @ iter =  84500
training @ iter =  84600
training @ iter =  84700
training @ iter =  84800
training @ iter =  84900
training @ iter =  85000
training @ iter =  85100
training @ iter =  85200
training @ iter =  85300
training @ iter =  85400
training @ iter =  85500
training @ iter =  85600
training @ iter =  85700
training @ iter =  85800
training @ iter =  85900
training @ iter =  86000
training @ iter =  86100
training @ iter =  86200
training @ iter =  86300
training @ iter =  86400
training @ iter =  86500
training @ iter =  86600
training @ iter =  86700
training @ iter =  86800
training @ iter =  86900
training @ iter =  87000
training @ iter =  87100
training @ iter =  87200
training @ iter =  87300
training @ iter =  87400
epoch 25, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  87500
training @ iter =  87600
training @ iter =  87700
training @ iter =  87800
training @ iter =  87900
training @ iter =  88000
training @ iter =  88100
training @ iter =  88200
training @ iter =  88300
training @ iter =  88400
training @ iter =  88500
training @ iter =  88600
training @ iter =  88700
training @ iter =  88800
training @ iter =  88900
training @ iter =  89000
training @ iter =  89100
training @ iter =  89200
training @ iter =  89300
training @ iter =  89400
training @ iter =  89500
training @ iter =  89600
training @ iter =  89700
training @ iter =  89800
training @ iter =  89900
training @ iter =  90000
training @ iter =  90100
training @ iter =  90200
training @ iter =  90300
training @ iter =  90400
training @ iter =  90500
training @ iter =  90600
training @ iter =  90700
training @ iter =  90800
training @ iter =  90900
epoch 26, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  91000
training @ iter =  91100
training @ iter =  91200
training @ iter =  91300
training @ iter =  91400
training @ iter =  91500
training @ iter =  91600
training @ iter =  91700
training @ iter =  91800
training @ iter =  91900
training @ iter =  92000
training @ iter =  92100
training @ iter =  92200
training @ iter =  92300
training @ iter =  92400
training @ iter =  92500
training @ iter =  92600
training @ iter =  92700
training @ iter =  92800
training @ iter =  92900
training @ iter =  93000
training @ iter =  93100
training @ iter =  93200
training @ iter =  93300
training @ iter =  93400
training @ iter =  93500
training @ iter =  93600
training @ iter =  93700
training @ iter =  93800
training @ iter =  93900
training @ iter =  94000
training @ iter =  94100
training @ iter =  94200
training @ iter =  94300
training @ iter =  94400
epoch 27, minibatch 3500/3500, validation error 0.560000 %
     epoch 27, minibatch 3500/3500, test error of best model 0.560000 %
training @ iter =  94500
training @ iter =  94600
training @ iter =  94700
training @ iter =  94800
training @ iter =  94900
training @ iter =  95000
training @ iter =  95100
training @ iter =  95200
training @ iter =  95300
training @ iter =  95400
training @ iter =  95500
training @ iter =  95600
training @ iter =  95700
training @ iter =  95800
training @ iter =  95900
training @ iter =  96000
training @ iter =  96100
training @ iter =  96200
training @ iter =  96300
training @ iter =  96400
training @ iter =  96500
training @ iter =  96600
training @ iter =  96700
training @ iter =  96800
training @ iter =  96900
training @ iter =  97000
training @ iter =  97100
training @ iter =  97200
training @ iter =  97300
training @ iter =  97400
training @ iter =  97500
training @ iter =  97600
training @ iter =  97700
training @ iter =  97800
training @ iter =  97900
epoch 28, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  98000
training @ iter =  98100
training @ iter =  98200
training @ iter =  98300
training @ iter =  98400
training @ iter =  98500
training @ iter =  98600
training @ iter =  98700
training @ iter =  98800
training @ iter =  98900
training @ iter =  99000
training @ iter =  99100
training @ iter =  99200
training @ iter =  99300
training @ iter =  99400
training @ iter =  99500
training @ iter =  99600
training @ iter =  99700
training @ iter =  99800
training @ iter =  99900
training @ iter =  100000
training @ iter =  100100
training @ iter =  100200
training @ iter =  100300
training @ iter =  100400
training @ iter =  100500
training @ iter =  100600
training @ iter =  100700
training @ iter =  100800
training @ iter =  100900
training @ iter =  101000
training @ iter =  101100
training @ iter =  101200
training @ iter =  101300
training @ iter =  101400
epoch 29, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  101500
training @ iter =  101600
training @ iter =  101700
training @ iter =  101800
training @ iter =  101900
training @ iter =  102000
training @ iter =  102100
training @ iter =  102200
training @ iter =  102300
training @ iter =  102400
training @ iter =  102500
training @ iter =  102600
training @ iter =  102700
training @ iter =  102800
training @ iter =  102900
training @ iter =  103000
training @ iter =  103100
training @ iter =  103200
training @ iter =  103300
training @ iter =  103400
training @ iter =  103500
training @ iter =  103600
training @ iter =  103700
training @ iter =  103800
training @ iter =  103900
training @ iter =  104000
training @ iter =  104100
training @ iter =  104200
training @ iter =  104300
training @ iter =  104400
training @ iter =  104500
training @ iter =  104600
training @ iter =  104700
training @ iter =  104800
training @ iter =  104900
epoch 30, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  105000
training @ iter =  105100
training @ iter =  105200
training @ iter =  105300
training @ iter =  105400
training @ iter =  105500
training @ iter =  105600
training @ iter =  105700
training @ iter =  105800
training @ iter =  105900
training @ iter =  106000
training @ iter =  106100
training @ iter =  106200
training @ iter =  106300
training @ iter =  106400
training @ iter =  106500
training @ iter =  106600
training @ iter =  106700
training @ iter =  106800
training @ iter =  106900
training @ iter =  107000
training @ iter =  107100
training @ iter =  107200
training @ iter =  107300
training @ iter =  107400
training @ iter =  107500
training @ iter =  107600
training @ iter =  107700
training @ iter =  107800
training @ iter =  107900
training @ iter =  108000
training @ iter =  108100
training @ iter =  108200
training @ iter =  108300
training @ iter =  108400
epoch 31, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  108500
training @ iter =  108600
training @ iter =  108700
training @ iter =  108800
training @ iter =  108900
training @ iter =  109000
training @ iter =  109100
training @ iter =  109200
training @ iter =  109300
training @ iter =  109400
training @ iter =  109500
training @ iter =  109600
training @ iter =  109700
training @ iter =  109800
training @ iter =  109900
training @ iter =  110000
training @ iter =  110100
training @ iter =  110200
training @ iter =  110300
training @ iter =  110400
training @ iter =  110500
training @ iter =  110600
training @ iter =  110700
training @ iter =  110800
training @ iter =  110900
training @ iter =  111000
training @ iter =  111100
training @ iter =  111200
training @ iter =  111300
training @ iter =  111400
training @ iter =  111500
training @ iter =  111600
training @ iter =  111700
training @ iter =  111800
training @ iter =  111900
epoch 32, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  112000
training @ iter =  112100
training @ iter =  112200
training @ iter =  112300
training @ iter =  112400
training @ iter =  112500
training @ iter =  112600
training @ iter =  112700
training @ iter =  112800
training @ iter =  112900
training @ iter =  113000
training @ iter =  113100
training @ iter =  113200
training @ iter =  113300
training @ iter =  113400
training @ iter =  113500
training @ iter =  113600
training @ iter =  113700
training @ iter =  113800
training @ iter =  113900
training @ iter =  114000
training @ iter =  114100
training @ iter =  114200
training @ iter =  114300
training @ iter =  114400
training @ iter =  114500
training @ iter =  114600
training @ iter =  114700
training @ iter =  114800
training @ iter =  114900
training @ iter =  115000
training @ iter =  115100
training @ iter =  115200
training @ iter =  115300
training @ iter =  115400
epoch 33, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  115500
training @ iter =  115600
training @ iter =  115700
training @ iter =  115800
training @ iter =  115900
training @ iter =  116000
training @ iter =  116100
training @ iter =  116200
training @ iter =  116300
training @ iter =  116400
training @ iter =  116500
training @ iter =  116600
training @ iter =  116700
training @ iter =  116800
training @ iter =  116900
training @ iter =  117000
training @ iter =  117100
training @ iter =  117200
training @ iter =  117300
training @ iter =  117400
training @ iter =  117500
training @ iter =  117600
training @ iter =  117700
training @ iter =  117800
training @ iter =  117900
training @ iter =  118000
training @ iter =  118100
training @ iter =  118200
training @ iter =  118300
training @ iter =  118400
training @ iter =  118500
training @ iter =  118600
training @ iter =  118700
training @ iter =  118800
training @ iter =  118900
epoch 34, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  119000
training @ iter =  119100
training @ iter =  119200
training @ iter =  119300
training @ iter =  119400
training @ iter =  119500
training @ iter =  119600
training @ iter =  119700
training @ iter =  119800
training @ iter =  119900
training @ iter =  120000
training @ iter =  120100
training @ iter =  120200
training @ iter =  120300
training @ iter =  120400
training @ iter =  120500
training @ iter =  120600
training @ iter =  120700
training @ iter =  120800
training @ iter =  120900
training @ iter =  121000
training @ iter =  121100
training @ iter =  121200
training @ iter =  121300
training @ iter =  121400
training @ iter =  121500
training @ iter =  121600
training @ iter =  121700
training @ iter =  121800
training @ iter =  121900
training @ iter =  122000
training @ iter =  122100
training @ iter =  122200
training @ iter =  122300
training @ iter =  122400
epoch 35, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  122500
training @ iter =  122600
training @ iter =  122700
training @ iter =  122800
training @ iter =  122900
training @ iter =  123000
training @ iter =  123100
training @ iter =  123200
training @ iter =  123300
training @ iter =  123400
training @ iter =  123500
training @ iter =  123600
training @ iter =  123700
training @ iter =  123800
training @ iter =  123900
training @ iter =  124000
training @ iter =  124100
training @ iter =  124200
training @ iter =  124300
training @ iter =  124400
training @ iter =  124500
training @ iter =  124600
training @ iter =  124700
training @ iter =  124800
training @ iter =  124900
training @ iter =  125000
training @ iter =  125100
training @ iter =  125200
training @ iter =  125300
training @ iter =  125400
training @ iter =  125500
training @ iter =  125600
training @ iter =  125700
training @ iter =  125800
training @ iter =  125900
epoch 36, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  126000
training @ iter =  126100
training @ iter =  126200
training @ iter =  126300
training @ iter =  126400
training @ iter =  126500
training @ iter =  126600
training @ iter =  126700
training @ iter =  126800
training @ iter =  126900
training @ iter =  127000
training @ iter =  127100
training @ iter =  127200
training @ iter =  127300
training @ iter =  127400
training @ iter =  127500
training @ iter =  127600
training @ iter =  127700
training @ iter =  127800
training @ iter =  127900
training @ iter =  128000
training @ iter =  128100
training @ iter =  128200
training @ iter =  128300
training @ iter =  128400
training @ iter =  128500
training @ iter =  128600
training @ iter =  128700
training @ iter =  128800
training @ iter =  128900
training @ iter =  129000
training @ iter =  129100
training @ iter =  129200
training @ iter =  129300
training @ iter =  129400
epoch 37, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  129500
training @ iter =  129600
training @ iter =  129700
training @ iter =  129800
training @ iter =  129900
training @ iter =  130000
training @ iter =  130100
training @ iter =  130200
training @ iter =  130300
training @ iter =  130400
training @ iter =  130500
training @ iter =  130600
training @ iter =  130700
training @ iter =  130800
training @ iter =  130900
training @ iter =  131000
training @ iter =  131100
training @ iter =  131200
training @ iter =  131300
training @ iter =  131400
training @ iter =  131500
training @ iter =  131600
training @ iter =  131700
training @ iter =  131800
training @ iter =  131900
training @ iter =  132000
training @ iter =  132100
training @ iter =  132200
training @ iter =  132300
training @ iter =  132400
training @ iter =  132500
training @ iter =  132600
training @ iter =  132700
training @ iter =  132800
training @ iter =  132900
epoch 38, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  133000
training @ iter =  133100
training @ iter =  133200
training @ iter =  133300
training @ iter =  133400
training @ iter =  133500
training @ iter =  133600
training @ iter =  133700
training @ iter =  133800
training @ iter =  133900
training @ iter =  134000
training @ iter =  134100
training @ iter =  134200
training @ iter =  134300
training @ iter =  134400
training @ iter =  134500
training @ iter =  134600
training @ iter =  134700
training @ iter =  134800
training @ iter =  134900
training @ iter =  135000
training @ iter =  135100
training @ iter =  135200
training @ iter =  135300
training @ iter =  135400
training @ iter =  135500
training @ iter =  135600
training @ iter =  135700
training @ iter =  135800
training @ iter =  135900
training @ iter =  136000
training @ iter =  136100
training @ iter =  136200
training @ iter =  136300
training @ iter =  136400
epoch 39, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  136500
training @ iter =  136600
training @ iter =  136700
training @ iter =  136800
training @ iter =  136900
training @ iter =  137000
training @ iter =  137100
training @ iter =  137200
training @ iter =  137300
training @ iter =  137400
training @ iter =  137500
training @ iter =  137600
training @ iter =  137700
training @ iter =  137800
training @ iter =  137900
training @ iter =  138000
training @ iter =  138100
training @ iter =  138200
training @ iter =  138300
training @ iter =  138400
training @ iter =  138500
training @ iter =  138600
training @ iter =  138700
training @ iter =  138800
training @ iter =  138900
training @ iter =  139000
training @ iter =  139100
training @ iter =  139200
training @ iter =  139300
training @ iter =  139400
training @ iter =  139500
training @ iter =  139600
training @ iter =  139700
training @ iter =  139800
training @ iter =  139900
epoch 40, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  140000
training @ iter =  140100
training @ iter =  140200
training @ iter =  140300
training @ iter =  140400
training @ iter =  140500
training @ iter =  140600
training @ iter =  140700
training @ iter =  140800
training @ iter =  140900
training @ iter =  141000
training @ iter =  141100
training @ iter =  141200
training @ iter =  141300
training @ iter =  141400
training @ iter =  141500
training @ iter =  141600
training @ iter =  141700
training @ iter =  141800
training @ iter =  141900
training @ iter =  142000
training @ iter =  142100
training @ iter =  142200
training @ iter =  142300
training @ iter =  142400
training @ iter =  142500
training @ iter =  142600
training @ iter =  142700
training @ iter =  142800
training @ iter =  142900
training @ iter =  143000
training @ iter =  143100
training @ iter =  143200
training @ iter =  143300
training @ iter =  143400
epoch 41, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  143500
training @ iter =  143600
training @ iter =  143700
training @ iter =  143800
training @ iter =  143900
training @ iter =  144000
training @ iter =  144100
training @ iter =  144200
training @ iter =  144300
training @ iter =  144400
training @ iter =  144500
training @ iter =  144600
training @ iter =  144700
training @ iter =  144800
training @ iter =  144900
training @ iter =  145000
training @ iter =  145100
training @ iter =  145200
training @ iter =  145300
training @ iter =  145400
training @ iter =  145500
training @ iter =  145600
training @ iter =  145700
training @ iter =  145800
training @ iter =  145900
training @ iter =  146000
training @ iter =  146100
training @ iter =  146200
training @ iter =  146300
training @ iter =  146400
training @ iter =  146500
training @ iter =  146600
training @ iter =  146700
training @ iter =  146800
training @ iter =  146900
epoch 42, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  147000
training @ iter =  147100
training @ iter =  147200
training @ iter =  147300
training @ iter =  147400
training @ iter =  147500
training @ iter =  147600
training @ iter =  147700
training @ iter =  147800
training @ iter =  147900
training @ iter =  148000
training @ iter =  148100
training @ iter =  148200
training @ iter =  148300
training @ iter =  148400
training @ iter =  148500
training @ iter =  148600
training @ iter =  148700
training @ iter =  148800
training @ iter =  148900
training @ iter =  149000
training @ iter =  149100
training @ iter =  149200
training @ iter =  149300
training @ iter =  149400
training @ iter =  149500
training @ iter =  149600
training @ iter =  149700
training @ iter =  149800
training @ iter =  149900
training @ iter =  150000
training @ iter =  150100
training @ iter =  150200
training @ iter =  150300
training @ iter =  150400
epoch 43, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  150500
training @ iter =  150600
training @ iter =  150700
training @ iter =  150800
training @ iter =  150900
training @ iter =  151000
training @ iter =  151100
training @ iter =  151200
training @ iter =  151300
training @ iter =  151400
training @ iter =  151500
training @ iter =  151600
training @ iter =  151700
training @ iter =  151800
training @ iter =  151900
training @ iter =  152000
training @ iter =  152100
training @ iter =  152200
training @ iter =  152300
training @ iter =  152400
training @ iter =  152500
training @ iter =  152600
training @ iter =  152700
training @ iter =  152800
training @ iter =  152900
training @ iter =  153000
training @ iter =  153100
training @ iter =  153200
training @ iter =  153300
training @ iter =  153400
training @ iter =  153500
training @ iter =  153600
training @ iter =  153700
training @ iter =  153800
training @ iter =  153900
epoch 44, minibatch 3500/3500, validation error 0.550000 %
     epoch 44, minibatch 3500/3500, test error of best model 0.580000 %
training @ iter =  154000
training @ iter =  154100
training @ iter =  154200
training @ iter =  154300
training @ iter =  154400
training @ iter =  154500
training @ iter =  154600
training @ iter =  154700
training @ iter =  154800
training @ iter =  154900
training @ iter =  155000
training @ iter =  155100
training @ iter =  155200
training @ iter =  155300
training @ iter =  155400
training @ iter =  155500
training @ iter =  155600
training @ iter =  155700
training @ iter =  155800
training @ iter =  155900
training @ iter =  156000
training @ iter =  156100
training @ iter =  156200
training @ iter =  156300
training @ iter =  156400
training @ iter =  156500
training @ iter =  156600
training @ iter =  156700
training @ iter =  156800
training @ iter =  156900
training @ iter =  157000
training @ iter =  157100
training @ iter =  157200
training @ iter =  157300
training @ iter =  157400
epoch 45, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  157500
training @ iter =  157600
training @ iter =  157700
training @ iter =  157800
training @ iter =  157900
training @ iter =  158000
training @ iter =  158100
training @ iter =  158200
training @ iter =  158300
training @ iter =  158400
training @ iter =  158500
training @ iter =  158600
training @ iter =  158700
training @ iter =  158800
training @ iter =  158900
training @ iter =  159000
training @ iter =  159100
training @ iter =  159200
training @ iter =  159300
training @ iter =  159400
training @ iter =  159500
training @ iter =  159600
training @ iter =  159700
training @ iter =  159800
training @ iter =  159900
training @ iter =  160000
training @ iter =  160100
training @ iter =  160200
training @ iter =  160300
training @ iter =  160400
training @ iter =  160500
training @ iter =  160600
training @ iter =  160700
training @ iter =  160800
training @ iter =  160900
epoch 46, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  161000
training @ iter =  161100
training @ iter =  161200
training @ iter =  161300
training @ iter =  161400
training @ iter =  161500
training @ iter =  161600
training @ iter =  161700
training @ iter =  161800
training @ iter =  161900
training @ iter =  162000
training @ iter =  162100
training @ iter =  162200
training @ iter =  162300
training @ iter =  162400
training @ iter =  162500
training @ iter =  162600
training @ iter =  162700
training @ iter =  162800
training @ iter =  162900
training @ iter =  163000
training @ iter =  163100
training @ iter =  163200
training @ iter =  163300
training @ iter =  163400
training @ iter =  163500
training @ iter =  163600
training @ iter =  163700
training @ iter =  163800
training @ iter =  163900
training @ iter =  164000
training @ iter =  164100
training @ iter =  164200
training @ iter =  164300
training @ iter =  164400
epoch 47, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  164500
training @ iter =  164600
training @ iter =  164700
training @ iter =  164800
training @ iter =  164900
training @ iter =  165000
training @ iter =  165100
training @ iter =  165200
training @ iter =  165300
training @ iter =  165400
training @ iter =  165500
training @ iter =  165600
training @ iter =  165700
training @ iter =  165800
training @ iter =  165900
training @ iter =  166000
training @ iter =  166100
training @ iter =  166200
training @ iter =  166300
training @ iter =  166400
training @ iter =  166500
training @ iter =  166600
training @ iter =  166700
training @ iter =  166800
training @ iter =  166900
training @ iter =  167000
training @ iter =  167100
training @ iter =  167200
training @ iter =  167300
training @ iter =  167400
training @ iter =  167500
training @ iter =  167600
training @ iter =  167700
training @ iter =  167800
training @ iter =  167900
epoch 48, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  168000
training @ iter =  168100
training @ iter =  168200
training @ iter =  168300
training @ iter =  168400
training @ iter =  168500
training @ iter =  168600
training @ iter =  168700
training @ iter =  168800
training @ iter =  168900
training @ iter =  169000
training @ iter =  169100
training @ iter =  169200
training @ iter =  169300
training @ iter =  169400
training @ iter =  169500
training @ iter =  169600
training @ iter =  169700
training @ iter =  169800
training @ iter =  169900
training @ iter =  170000
training @ iter =  170100
training @ iter =  170200
training @ iter =  170300
training @ iter =  170400
training @ iter =  170500
training @ iter =  170600
training @ iter =  170700
training @ iter =  170800
training @ iter =  170900
training @ iter =  171000
training @ iter =  171100
training @ iter =  171200
training @ iter =  171300
training @ iter =  171400
epoch 49, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  171500
training @ iter =  171600
training @ iter =  171700
training @ iter =  171800
training @ iter =  171900
training @ iter =  172000
training @ iter =  172100
training @ iter =  172200
training @ iter =  172300
training @ iter =  172400
training @ iter =  172500
training @ iter =  172600
training @ iter =  172700
training @ iter =  172800
training @ iter =  172900
training @ iter =  173000
training @ iter =  173100
training @ iter =  173200
training @ iter =  173300
training @ iter =  173400
training @ iter =  173500
training @ iter =  173600
training @ iter =  173700
training @ iter =  173800
training @ iter =  173900
training @ iter =  174000
training @ iter =  174100
training @ iter =  174200
training @ iter =  174300
training @ iter =  174400
training @ iter =  174500
training @ iter =  174600
training @ iter =  174700
training @ iter =  174800
training @ iter =  174900
epoch 50, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  175000
training @ iter =  175100
training @ iter =  175200
training @ iter =  175300
training @ iter =  175400
training @ iter =  175500
training @ iter =  175600
training @ iter =  175700
training @ iter =  175800
training @ iter =  175900
training @ iter =  176000
training @ iter =  176100
training @ iter =  176200
training @ iter =  176300
training @ iter =  176400
training @ iter =  176500
training @ iter =  176600
training @ iter =  176700
training @ iter =  176800
training @ iter =  176900
training @ iter =  177000
training @ iter =  177100
training @ iter =  177200
training @ iter =  177300
training @ iter =  177400
training @ iter =  177500
training @ iter =  177600
training @ iter =  177700
training @ iter =  177800
training @ iter =  177900
training @ iter =  178000
training @ iter =  178100
training @ iter =  178200
training @ iter =  178300
training @ iter =  178400
epoch 51, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  178500
training @ iter =  178600
training @ iter =  178700
training @ iter =  178800
training @ iter =  178900
training @ iter =  179000
training @ iter =  179100
training @ iter =  179200
training @ iter =  179300
training @ iter =  179400
training @ iter =  179500
training @ iter =  179600
training @ iter =  179700
training @ iter =  179800
training @ iter =  179900
training @ iter =  180000
training @ iter =  180100
training @ iter =  180200
training @ iter =  180300
training @ iter =  180400
training @ iter =  180500
training @ iter =  180600
training @ iter =  180700
training @ iter =  180800
training @ iter =  180900
training @ iter =  181000
training @ iter =  181100
training @ iter =  181200
training @ iter =  181300
training @ iter =  181400
training @ iter =  181500
training @ iter =  181600
training @ iter =  181700
training @ iter =  181800
training @ iter =  181900
epoch 52, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  182000
training @ iter =  182100
training @ iter =  182200
training @ iter =  182300
training @ iter =  182400
training @ iter =  182500
training @ iter =  182600
training @ iter =  182700
training @ iter =  182800
training @ iter =  182900
training @ iter =  183000
training @ iter =  183100
training @ iter =  183200
training @ iter =  183300
training @ iter =  183400
training @ iter =  183500
training @ iter =  183600
training @ iter =  183700
training @ iter =  183800
training @ iter =  183900
training @ iter =  184000
training @ iter =  184100
training @ iter =  184200
training @ iter =  184300
training @ iter =  184400
training @ iter =  184500
training @ iter =  184600
training @ iter =  184700
training @ iter =  184800
training @ iter =  184900
training @ iter =  185000
training @ iter =  185100
training @ iter =  185200
training @ iter =  185300
training @ iter =  185400
epoch 53, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  185500
training @ iter =  185600
training @ iter =  185700
training @ iter =  185800
training @ iter =  185900
training @ iter =  186000
training @ iter =  186100
training @ iter =  186200
training @ iter =  186300
training @ iter =  186400
training @ iter =  186500
training @ iter =  186600
training @ iter =  186700
training @ iter =  186800
training @ iter =  186900
training @ iter =  187000
training @ iter =  187100
training @ iter =  187200
training @ iter =  187300
training @ iter =  187400
training @ iter =  187500
training @ iter =  187600
training @ iter =  187700
training @ iter =  187800
training @ iter =  187900
training @ iter =  188000
training @ iter =  188100
training @ iter =  188200
training @ iter =  188300
training @ iter =  188400
training @ iter =  188500
training @ iter =  188600
training @ iter =  188700
training @ iter =  188800
training @ iter =  188900
epoch 54, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  189000
training @ iter =  189100
training @ iter =  189200
training @ iter =  189300
training @ iter =  189400
training @ iter =  189500
training @ iter =  189600
training @ iter =  189700
training @ iter =  189800
training @ iter =  189900
training @ iter =  190000
training @ iter =  190100
training @ iter =  190200
training @ iter =  190300
training @ iter =  190400
training @ iter =  190500
training @ iter =  190600
training @ iter =  190700
training @ iter =  190800
training @ iter =  190900
training @ iter =  191000
training @ iter =  191100
training @ iter =  191200
training @ iter =  191300
training @ iter =  191400
training @ iter =  191500
training @ iter =  191600
training @ iter =  191700
training @ iter =  191800
training @ iter =  191900
training @ iter =  192000
training @ iter =  192100
training @ iter =  192200
training @ iter =  192300
training @ iter =  192400
epoch 55, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  192500
training @ iter =  192600
training @ iter =  192700
training @ iter =  192800
training @ iter =  192900
training @ iter =  193000
training @ iter =  193100
training @ iter =  193200
training @ iter =  193300
training @ iter =  193400
training @ iter =  193500
training @ iter =  193600
training @ iter =  193700
training @ iter =  193800
training @ iter =  193900
training @ iter =  194000
training @ iter =  194100
training @ iter =  194200
training @ iter =  194300
training @ iter =  194400
training @ iter =  194500
training @ iter =  194600
training @ iter =  194700
training @ iter =  194800
training @ iter =  194900
training @ iter =  195000
training @ iter =  195100
training @ iter =  195200
training @ iter =  195300
training @ iter =  195400
training @ iter =  195500
training @ iter =  195600
training @ iter =  195700
training @ iter =  195800
training @ iter =  195900
epoch 56, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  196000
training @ iter =  196100
training @ iter =  196200
training @ iter =  196300
training @ iter =  196400
training @ iter =  196500
training @ iter =  196600
training @ iter =  196700
training @ iter =  196800
training @ iter =  196900
training @ iter =  197000
training @ iter =  197100
training @ iter =  197200
training @ iter =  197300
training @ iter =  197400
training @ iter =  197500
training @ iter =  197600
training @ iter =  197700
training @ iter =  197800
training @ iter =  197900
training @ iter =  198000
training @ iter =  198100
training @ iter =  198200
training @ iter =  198300
training @ iter =  198400
training @ iter =  198500
training @ iter =  198600
training @ iter =  198700
training @ iter =  198800
training @ iter =  198900
training @ iter =  199000
training @ iter =  199100
training @ iter =  199200
training @ iter =  199300
training @ iter =  199400
epoch 57, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  199500
training @ iter =  199600
training @ iter =  199700
training @ iter =  199800
training @ iter =  199900
training @ iter =  200000
training @ iter =  200100
training @ iter =  200200
training @ iter =  200300
training @ iter =  200400
training @ iter =  200500
training @ iter =  200600
training @ iter =  200700
training @ iter =  200800
training @ iter =  200900
training @ iter =  201000
training @ iter =  201100
training @ iter =  201200
training @ iter =  201300
training @ iter =  201400
training @ iter =  201500
training @ iter =  201600
training @ iter =  201700
training @ iter =  201800
training @ iter =  201900
training @ iter =  202000
training @ iter =  202100
training @ iter =  202200
training @ iter =  202300
training @ iter =  202400
training @ iter =  202500
training @ iter =  202600
training @ iter =  202700
training @ iter =  202800
training @ iter =  202900
epoch 58, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  203000
training @ iter =  203100
training @ iter =  203200
training @ iter =  203300
training @ iter =  203400
training @ iter =  203500
training @ iter =  203600
training @ iter =  203700
training @ iter =  203800
training @ iter =  203900
training @ iter =  204000
training @ iter =  204100
training @ iter =  204200
training @ iter =  204300
training @ iter =  204400
training @ iter =  204500
training @ iter =  204600
training @ iter =  204700
training @ iter =  204800
training @ iter =  204900
training @ iter =  205000
training @ iter =  205100
training @ iter =  205200
training @ iter =  205300
training @ iter =  205400
training @ iter =  205500
training @ iter =  205600
training @ iter =  205700
training @ iter =  205800
training @ iter =  205900
training @ iter =  206000
training @ iter =  206100
training @ iter =  206200
training @ iter =  206300
training @ iter =  206400
epoch 59, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  206500
training @ iter =  206600
training @ iter =  206700
training @ iter =  206800
training @ iter =  206900
training @ iter =  207000
training @ iter =  207100
training @ iter =  207200
training @ iter =  207300
training @ iter =  207400
training @ iter =  207500
training @ iter =  207600
training @ iter =  207700
training @ iter =  207800
training @ iter =  207900
training @ iter =  208000
training @ iter =  208100
training @ iter =  208200
training @ iter =  208300
training @ iter =  208400
training @ iter =  208500
training @ iter =  208600
training @ iter =  208700
training @ iter =  208800
training @ iter =  208900
training @ iter =  209000
training @ iter =  209100
training @ iter =  209200
training @ iter =  209300
training @ iter =  209400
training @ iter =  209500
training @ iter =  209600
training @ iter =  209700
training @ iter =  209800
training @ iter =  209900
epoch 60, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  210000
training @ iter =  210100
training @ iter =  210200
training @ iter =  210300
training @ iter =  210400
training @ iter =  210500
training @ iter =  210600
training @ iter =  210700
training @ iter =  210800
training @ iter =  210900
training @ iter =  211000
training @ iter =  211100
training @ iter =  211200
training @ iter =  211300
training @ iter =  211400
training @ iter =  211500
training @ iter =  211600
training @ iter =  211700
training @ iter =  211800
training @ iter =  211900
training @ iter =  212000
training @ iter =  212100
training @ iter =  212200
training @ iter =  212300
training @ iter =  212400
training @ iter =  212500
training @ iter =  212600
training @ iter =  212700
training @ iter =  212800
training @ iter =  212900
training @ iter =  213000
training @ iter =  213100
training @ iter =  213200
training @ iter =  213300
training @ iter =  213400
epoch 61, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  213500
training @ iter =  213600
training @ iter =  213700
training @ iter =  213800
training @ iter =  213900
training @ iter =  214000
training @ iter =  214100
training @ iter =  214200
training @ iter =  214300
training @ iter =  214400
training @ iter =  214500
training @ iter =  214600
training @ iter =  214700
training @ iter =  214800
training @ iter =  214900
training @ iter =  215000
training @ iter =  215100
training @ iter =  215200
training @ iter =  215300
training @ iter =  215400
training @ iter =  215500
training @ iter =  215600
training @ iter =  215700
training @ iter =  215800
training @ iter =  215900
training @ iter =  216000
training @ iter =  216100
training @ iter =  216200
training @ iter =  216300
training @ iter =  216400
training @ iter =  216500
training @ iter =  216600
training @ iter =  216700
training @ iter =  216800
training @ iter =  216900
epoch 62, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  217000
training @ iter =  217100
training @ iter =  217200
training @ iter =  217300
training @ iter =  217400
training @ iter =  217500
training @ iter =  217600
training @ iter =  217700
training @ iter =  217800
training @ iter =  217900
training @ iter =  218000
training @ iter =  218100
training @ iter =  218200
training @ iter =  218300
training @ iter =  218400
training @ iter =  218500
training @ iter =  218600
training @ iter =  218700
training @ iter =  218800
training @ iter =  218900
training @ iter =  219000
training @ iter =  219100
training @ iter =  219200
training @ iter =  219300
training @ iter =  219400
training @ iter =  219500
training @ iter =  219600
training @ iter =  219700
training @ iter =  219800
training @ iter =  219900
training @ iter =  220000
training @ iter =  220100
training @ iter =  220200
training @ iter =  220300
training @ iter =  220400
epoch 63, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  220500
training @ iter =  220600
training @ iter =  220700
training @ iter =  220800
training @ iter =  220900
training @ iter =  221000
training @ iter =  221100
training @ iter =  221200
training @ iter =  221300
training @ iter =  221400
training @ iter =  221500
training @ iter =  221600
training @ iter =  221700
training @ iter =  221800
training @ iter =  221900
training @ iter =  222000
training @ iter =  222100
training @ iter =  222200
training @ iter =  222300
training @ iter =  222400
training @ iter =  222500
training @ iter =  222600
training @ iter =  222700
training @ iter =  222800
training @ iter =  222900
training @ iter =  223000
training @ iter =  223100
training @ iter =  223200
training @ iter =  223300
training @ iter =  223400
training @ iter =  223500
training @ iter =  223600
training @ iter =  223700
training @ iter =  223800
training @ iter =  223900
epoch 64, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  224000
training @ iter =  224100
training @ iter =  224200
training @ iter =  224300
training @ iter =  224400
training @ iter =  224500
training @ iter =  224600
training @ iter =  224700
training @ iter =  224800
training @ iter =  224900
training @ iter =  225000
training @ iter =  225100
training @ iter =  225200
training @ iter =  225300
training @ iter =  225400
training @ iter =  225500
training @ iter =  225600
training @ iter =  225700
training @ iter =  225800
training @ iter =  225900
training @ iter =  226000
training @ iter =  226100
training @ iter =  226200
training @ iter =  226300
training @ iter =  226400
training @ iter =  226500
training @ iter =  226600
training @ iter =  226700
training @ iter =  226800
training @ iter =  226900
training @ iter =  227000
training @ iter =  227100
training @ iter =  227200
training @ iter =  227300
training @ iter =  227400
epoch 65, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  227500
training @ iter =  227600
training @ iter =  227700
training @ iter =  227800
training @ iter =  227900
training @ iter =  228000
training @ iter =  228100
training @ iter =  228200
training @ iter =  228300
training @ iter =  228400
training @ iter =  228500
training @ iter =  228600
training @ iter =  228700
training @ iter =  228800
training @ iter =  228900
training @ iter =  229000
training @ iter =  229100
training @ iter =  229200
training @ iter =  229300
training @ iter =  229400
training @ iter =  229500
training @ iter =  229600
training @ iter =  229700
training @ iter =  229800
training @ iter =  229900
training @ iter =  230000
training @ iter =  230100
training @ iter =  230200
training @ iter =  230300
training @ iter =  230400
training @ iter =  230500
training @ iter =  230600
training @ iter =  230700
training @ iter =  230800
training @ iter =  230900
epoch 66, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  231000
training @ iter =  231100
training @ iter =  231200
training @ iter =  231300
training @ iter =  231400
training @ iter =  231500
training @ iter =  231600
training @ iter =  231700
training @ iter =  231800
training @ iter =  231900
training @ iter =  232000
training @ iter =  232100
training @ iter =  232200
training @ iter =  232300
training @ iter =  232400
training @ iter =  232500
training @ iter =  232600
training @ iter =  232700
training @ iter =  232800
training @ iter =  232900
training @ iter =  233000
training @ iter =  233100
training @ iter =  233200
training @ iter =  233300
training @ iter =  233400
training @ iter =  233500
training @ iter =  233600
training @ iter =  233700
training @ iter =  233800
training @ iter =  233900
training @ iter =  234000
training @ iter =  234100
training @ iter =  234200
training @ iter =  234300
training @ iter =  234400
epoch 67, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  234500
training @ iter =  234600
training @ iter =  234700
training @ iter =  234800
training @ iter =  234900
training @ iter =  235000
training @ iter =  235100
training @ iter =  235200
training @ iter =  235300
training @ iter =  235400
training @ iter =  235500
training @ iter =  235600
training @ iter =  235700
training @ iter =  235800
training @ iter =  235900
training @ iter =  236000
training @ iter =  236100
training @ iter =  236200
training @ iter =  236300
training @ iter =  236400
training @ iter =  236500
training @ iter =  236600
training @ iter =  236700
training @ iter =  236800
training @ iter =  236900
training @ iter =  237000
training @ iter =  237100
training @ iter =  237200
training @ iter =  237300
training @ iter =  237400
training @ iter =  237500
training @ iter =  237600
training @ iter =  237700
training @ iter =  237800
training @ iter =  237900
epoch 68, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  238000
training @ iter =  238100
training @ iter =  238200
training @ iter =  238300
training @ iter =  238400
training @ iter =  238500
training @ iter =  238600
training @ iter =  238700
training @ iter =  238800
training @ iter =  238900
training @ iter =  239000
training @ iter =  239100
training @ iter =  239200
training @ iter =  239300
training @ iter =  239400
training @ iter =  239500
training @ iter =  239600
training @ iter =  239700
training @ iter =  239800
training @ iter =  239900
training @ iter =  240000
training @ iter =  240100
training @ iter =  240200
training @ iter =  240300
training @ iter =  240400
training @ iter =  240500
training @ iter =  240600
training @ iter =  240700
training @ iter =  240800
training @ iter =  240900
training @ iter =  241000
training @ iter =  241100
training @ iter =  241200
training @ iter =  241300
training @ iter =  241400
epoch 69, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  241500
training @ iter =  241600
training @ iter =  241700
training @ iter =  241800
training @ iter =  241900
training @ iter =  242000
training @ iter =  242100
training @ iter =  242200
training @ iter =  242300
training @ iter =  242400
training @ iter =  242500
training @ iter =  242600
training @ iter =  242700
training @ iter =  242800
training @ iter =  242900
training @ iter =  243000
training @ iter =  243100
training @ iter =  243200
training @ iter =  243300
training @ iter =  243400
training @ iter =  243500
training @ iter =  243600
training @ iter =  243700
training @ iter =  243800
training @ iter =  243900
training @ iter =  244000
training @ iter =  244100
training @ iter =  244200
training @ iter =  244300
training @ iter =  244400
training @ iter =  244500
training @ iter =  244600
training @ iter =  244700
training @ iter =  244800
training @ iter =  244900
epoch 70, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  245000
training @ iter =  245100
training @ iter =  245200
training @ iter =  245300
training @ iter =  245400
training @ iter =  245500
training @ iter =  245600
training @ iter =  245700
training @ iter =  245800
training @ iter =  245900
training @ iter =  246000
training @ iter =  246100
training @ iter =  246200
training @ iter =  246300
training @ iter =  246400
training @ iter =  246500
training @ iter =  246600
training @ iter =  246700
training @ iter =  246800
training @ iter =  246900
training @ iter =  247000
training @ iter =  247100
training @ iter =  247200
training @ iter =  247300
training @ iter =  247400
training @ iter =  247500
training @ iter =  247600
training @ iter =  247700
training @ iter =  247800
training @ iter =  247900
training @ iter =  248000
training @ iter =  248100
training @ iter =  248200
training @ iter =  248300
training @ iter =  248400
epoch 71, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  248500
training @ iter =  248600
training @ iter =  248700
training @ iter =  248800
training @ iter =  248900
training @ iter =  249000
training @ iter =  249100
training @ iter =  249200
training @ iter =  249300
training @ iter =  249400
training @ iter =  249500
training @ iter =  249600
training @ iter =  249700
training @ iter =  249800
training @ iter =  249900
training @ iter =  250000
training @ iter =  250100
training @ iter =  250200
training @ iter =  250300
training @ iter =  250400
training @ iter =  250500
training @ iter =  250600
training @ iter =  250700
training @ iter =  250800
training @ iter =  250900
training @ iter =  251000
training @ iter =  251100
training @ iter =  251200
training @ iter =  251300
training @ iter =  251400
training @ iter =  251500
training @ iter =  251600
training @ iter =  251700
training @ iter =  251800
training @ iter =  251900
epoch 72, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  252000
training @ iter =  252100
training @ iter =  252200
training @ iter =  252300
training @ iter =  252400
training @ iter =  252500
training @ iter =  252600
training @ iter =  252700
training @ iter =  252800
training @ iter =  252900
training @ iter =  253000
training @ iter =  253100
training @ iter =  253200
training @ iter =  253300
training @ iter =  253400
training @ iter =  253500
training @ iter =  253600
training @ iter =  253700
training @ iter =  253800
training @ iter =  253900
training @ iter =  254000
training @ iter =  254100
training @ iter =  254200
training @ iter =  254300
training @ iter =  254400
training @ iter =  254500
training @ iter =  254600
training @ iter =  254700
training @ iter =  254800
training @ iter =  254900
training @ iter =  255000
training @ iter =  255100
training @ iter =  255200
training @ iter =  255300
training @ iter =  255400
epoch 73, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  255500
training @ iter =  255600
training @ iter =  255700
training @ iter =  255800
training @ iter =  255900
training @ iter =  256000
training @ iter =  256100
training @ iter =  256200
training @ iter =  256300
training @ iter =  256400
training @ iter =  256500
training @ iter =  256600
training @ iter =  256700
training @ iter =  256800
training @ iter =  256900
training @ iter =  257000
training @ iter =  257100
training @ iter =  257200
training @ iter =  257300
training @ iter =  257400
training @ iter =  257500
training @ iter =  257600
training @ iter =  257700
training @ iter =  257800
training @ iter =  257900
training @ iter =  258000
training @ iter =  258100
training @ iter =  258200
training @ iter =  258300
training @ iter =  258400
training @ iter =  258500
training @ iter =  258600
training @ iter =  258700
training @ iter =  258800
training @ iter =  258900
epoch 74, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  259000
training @ iter =  259100
training @ iter =  259200
training @ iter =  259300
training @ iter =  259400
training @ iter =  259500
training @ iter =  259600
training @ iter =  259700
training @ iter =  259800
training @ iter =  259900
training @ iter =  260000
training @ iter =  260100
training @ iter =  260200
training @ iter =  260300
training @ iter =  260400
training @ iter =  260500
training @ iter =  260600
training @ iter =  260700
training @ iter =  260800
training @ iter =  260900
training @ iter =  261000
training @ iter =  261100
training @ iter =  261200
training @ iter =  261300
training @ iter =  261400
training @ iter =  261500
training @ iter =  261600
training @ iter =  261700
training @ iter =  261800
training @ iter =  261900
training @ iter =  262000
training @ iter =  262100
training @ iter =  262200
training @ iter =  262300
training @ iter =  262400
epoch 75, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  262500
training @ iter =  262600
training @ iter =  262700
training @ iter =  262800
training @ iter =  262900
training @ iter =  263000
training @ iter =  263100
training @ iter =  263200
training @ iter =  263300
training @ iter =  263400
training @ iter =  263500
training @ iter =  263600
training @ iter =  263700
training @ iter =  263800
training @ iter =  263900
training @ iter =  264000
training @ iter =  264100
training @ iter =  264200
training @ iter =  264300
training @ iter =  264400
training @ iter =  264500
training @ iter =  264600
training @ iter =  264700
training @ iter =  264800
training @ iter =  264900
training @ iter =  265000
training @ iter =  265100
training @ iter =  265200
training @ iter =  265300
training @ iter =  265400
training @ iter =  265500
training @ iter =  265600
training @ iter =  265700
training @ iter =  265800
training @ iter =  265900
epoch 76, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  266000
training @ iter =  266100
training @ iter =  266200
training @ iter =  266300
training @ iter =  266400
training @ iter =  266500
training @ iter =  266600
training @ iter =  266700
training @ iter =  266800
training @ iter =  266900
training @ iter =  267000
training @ iter =  267100
training @ iter =  267200
training @ iter =  267300
training @ iter =  267400
training @ iter =  267500
training @ iter =  267600
training @ iter =  267700
training @ iter =  267800
training @ iter =  267900
training @ iter =  268000
training @ iter =  268100
training @ iter =  268200
training @ iter =  268300
training @ iter =  268400
training @ iter =  268500
training @ iter =  268600
training @ iter =  268700
training @ iter =  268800
training @ iter =  268900
training @ iter =  269000
training @ iter =  269100
training @ iter =  269200
training @ iter =  269300
training @ iter =  269400
epoch 77, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  269500
training @ iter =  269600
training @ iter =  269700
training @ iter =  269800
training @ iter =  269900
training @ iter =  270000
training @ iter =  270100
training @ iter =  270200
training @ iter =  270300
training @ iter =  270400
training @ iter =  270500
training @ iter =  270600
training @ iter =  270700
training @ iter =  270800
training @ iter =  270900
training @ iter =  271000
training @ iter =  271100
training @ iter =  271200
training @ iter =  271300
training @ iter =  271400
training @ iter =  271500
training @ iter =  271600
training @ iter =  271700
training @ iter =  271800
training @ iter =  271900
training @ iter =  272000
training @ iter =  272100
training @ iter =  272200
training @ iter =  272300
training @ iter =  272400
training @ iter =  272500
training @ iter =  272600
training @ iter =  272700
training @ iter =  272800
training @ iter =  272900
epoch 78, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  273000
training @ iter =  273100
training @ iter =  273200
training @ iter =  273300
training @ iter =  273400
training @ iter =  273500
training @ iter =  273600
training @ iter =  273700
training @ iter =  273800
training @ iter =  273900
training @ iter =  274000
training @ iter =  274100
training @ iter =  274200
training @ iter =  274300
training @ iter =  274400
training @ iter =  274500
training @ iter =  274600
training @ iter =  274700
training @ iter =  274800
training @ iter =  274900
training @ iter =  275000
training @ iter =  275100
training @ iter =  275200
training @ iter =  275300
training @ iter =  275400
training @ iter =  275500
training @ iter =  275600
training @ iter =  275700
training @ iter =  275800
training @ iter =  275900
training @ iter =  276000
training @ iter =  276100
training @ iter =  276200
training @ iter =  276300
training @ iter =  276400
epoch 79, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  276500
training @ iter =  276600
training @ iter =  276700
training @ iter =  276800
training @ iter =  276900
training @ iter =  277000
training @ iter =  277100
training @ iter =  277200
training @ iter =  277300
training @ iter =  277400
training @ iter =  277500
training @ iter =  277600
training @ iter =  277700
training @ iter =  277800
training @ iter =  277900
training @ iter =  278000
training @ iter =  278100
training @ iter =  278200
training @ iter =  278300
training @ iter =  278400
training @ iter =  278500
training @ iter =  278600
training @ iter =  278700
training @ iter =  278800
training @ iter =  278900
training @ iter =  279000
training @ iter =  279100
training @ iter =  279200
training @ iter =  279300
training @ iter =  279400
training @ iter =  279500
training @ iter =  279600
training @ iter =  279700
training @ iter =  279800
training @ iter =  279900
epoch 80, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  280000
training @ iter =  280100
training @ iter =  280200
training @ iter =  280300
training @ iter =  280400
training @ iter =  280500
training @ iter =  280600
training @ iter =  280700
training @ iter =  280800
training @ iter =  280900
training @ iter =  281000
training @ iter =  281100
training @ iter =  281200
training @ iter =  281300
training @ iter =  281400
training @ iter =  281500
training @ iter =  281600
training @ iter =  281700
training @ iter =  281800
training @ iter =  281900
training @ iter =  282000
training @ iter =  282100
training @ iter =  282200
training @ iter =  282300
training @ iter =  282400
training @ iter =  282500
training @ iter =  282600
training @ iter =  282700
training @ iter =  282800
training @ iter =  282900
training @ iter =  283000
training @ iter =  283100
training @ iter =  283200
training @ iter =  283300
training @ iter =  283400
epoch 81, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  283500
training @ iter =  283600
training @ iter =  283700
training @ iter =  283800
training @ iter =  283900
training @ iter =  284000
training @ iter =  284100
training @ iter =  284200
training @ iter =  284300
training @ iter =  284400
training @ iter =  284500
training @ iter =  284600
training @ iter =  284700
training @ iter =  284800
training @ iter =  284900
training @ iter =  285000
training @ iter =  285100
training @ iter =  285200
training @ iter =  285300
training @ iter =  285400
training @ iter =  285500
training @ iter =  285600
training @ iter =  285700
training @ iter =  285800
training @ iter =  285900
training @ iter =  286000
training @ iter =  286100
training @ iter =  286200
training @ iter =  286300
training @ iter =  286400
training @ iter =  286500
training @ iter =  286600
training @ iter =  286700
training @ iter =  286800
training @ iter =  286900
epoch 82, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  287000
training @ iter =  287100
training @ iter =  287200
training @ iter =  287300
training @ iter =  287400
training @ iter =  287500
training @ iter =  287600
training @ iter =  287700
training @ iter =  287800
training @ iter =  287900
training @ iter =  288000
training @ iter =  288100
training @ iter =  288200
training @ iter =  288300
training @ iter =  288400
training @ iter =  288500
training @ iter =  288600
training @ iter =  288700
training @ iter =  288800
training @ iter =  288900
training @ iter =  289000
training @ iter =  289100
training @ iter =  289200
training @ iter =  289300
training @ iter =  289400
training @ iter =  289500
training @ iter =  289600
training @ iter =  289700
training @ iter =  289800
training @ iter =  289900
training @ iter =  290000
training @ iter =  290100
training @ iter =  290200
training @ iter =  290300
training @ iter =  290400
epoch 83, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  290500
training @ iter =  290600
training @ iter =  290700
training @ iter =  290800
training @ iter =  290900
training @ iter =  291000
training @ iter =  291100
training @ iter =  291200
training @ iter =  291300
training @ iter =  291400
training @ iter =  291500
training @ iter =  291600
training @ iter =  291700
training @ iter =  291800
training @ iter =  291900
training @ iter =  292000
training @ iter =  292100
training @ iter =  292200
training @ iter =  292300
training @ iter =  292400
training @ iter =  292500
training @ iter =  292600
training @ iter =  292700
training @ iter =  292800
training @ iter =  292900
training @ iter =  293000
training @ iter =  293100
training @ iter =  293200
training @ iter =  293300
training @ iter =  293400
training @ iter =  293500
training @ iter =  293600
training @ iter =  293700
training @ iter =  293800
training @ iter =  293900
epoch 84, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  294000
training @ iter =  294100
training @ iter =  294200
training @ iter =  294300
training @ iter =  294400
training @ iter =  294500
training @ iter =  294600
training @ iter =  294700
training @ iter =  294800
training @ iter =  294900
training @ iter =  295000
training @ iter =  295100
training @ iter =  295200
training @ iter =  295300
training @ iter =  295400
training @ iter =  295500
training @ iter =  295600
training @ iter =  295700
training @ iter =  295800
training @ iter =  295900
training @ iter =  296000
training @ iter =  296100
training @ iter =  296200
training @ iter =  296300
training @ iter =  296400
training @ iter =  296500
training @ iter =  296600
training @ iter =  296700
training @ iter =  296800
training @ iter =  296900
training @ iter =  297000
training @ iter =  297100
training @ iter =  297200
training @ iter =  297300
training @ iter =  297400
epoch 85, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  297500
training @ iter =  297600
training @ iter =  297700
training @ iter =  297800
training @ iter =  297900
training @ iter =  298000
training @ iter =  298100
training @ iter =  298200
training @ iter =  298300
training @ iter =  298400
training @ iter =  298500
training @ iter =  298600
training @ iter =  298700
training @ iter =  298800
training @ iter =  298900
training @ iter =  299000
training @ iter =  299100
training @ iter =  299200
training @ iter =  299300
training @ iter =  299400
training @ iter =  299500
training @ iter =  299600
training @ iter =  299700
training @ iter =  299800
training @ iter =  299900
training @ iter =  300000
training @ iter =  300100
training @ iter =  300200
training @ iter =  300300
training @ iter =  300400
training @ iter =  300500
training @ iter =  300600
training @ iter =  300700
training @ iter =  300800
training @ iter =  300900
epoch 86, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  301000
training @ iter =  301100
training @ iter =  301200
training @ iter =  301300
training @ iter =  301400
training @ iter =  301500
training @ iter =  301600
training @ iter =  301700
training @ iter =  301800
training @ iter =  301900
training @ iter =  302000
training @ iter =  302100
training @ iter =  302200
training @ iter =  302300
training @ iter =  302400
training @ iter =  302500
training @ iter =  302600
training @ iter =  302700
training @ iter =  302800
training @ iter =  302900
training @ iter =  303000
training @ iter =  303100
training @ iter =  303200
training @ iter =  303300
training @ iter =  303400
training @ iter =  303500
training @ iter =  303600
training @ iter =  303700
training @ iter =  303800
training @ iter =  303900
training @ iter =  304000
training @ iter =  304100
training @ iter =  304200
training @ iter =  304300
training @ iter =  304400
epoch 87, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  304500
training @ iter =  304600
training @ iter =  304700
training @ iter =  304800
training @ iter =  304900
training @ iter =  305000
training @ iter =  305100
training @ iter =  305200
training @ iter =  305300
training @ iter =  305400
training @ iter =  305500
training @ iter =  305600
training @ iter =  305700
training @ iter =  305800
training @ iter =  305900
training @ iter =  306000
training @ iter =  306100
training @ iter =  306200
training @ iter =  306300
training @ iter =  306400
training @ iter =  306500
training @ iter =  306600
training @ iter =  306700
training @ iter =  306800
training @ iter =  306900
training @ iter =  307000
training @ iter =  307100
training @ iter =  307200
training @ iter =  307300
training @ iter =  307400
training @ iter =  307500
training @ iter =  307600
training @ iter =  307700
training @ iter =  307800
training @ iter =  307900
Optimization complete.
Best validation score of 0.550000 % obtained at iteration 154000, with test performance 0.580000 %
Saving Model as "mcdnn_slice1_dsmnist_elastic_4_34_nm14_trail0_time_1448537165"...
... train 0 column of normalization 16
... num_epochs 400
... loading data
Loaded DS on RAM
... normalizing digits to width 16 with extra padding 1
... sharing data
... building the dnn column
... training
training @ iter =  0
training @ iter =  100
training @ iter =  200
training @ iter =  300
training @ iter =  400
training @ iter =  500
training @ iter =  600
training @ iter =  700
training @ iter =  800
training @ iter =  900
training @ iter =  1000
training @ iter =  1100
training @ iter =  1200
training @ iter =  1300
training @ iter =  1400
training @ iter =  1500
training @ iter =  1600
training @ iter =  1700
training @ iter =  1800
training @ iter =  1900
training @ iter =  2000
training @ iter =  2100
training @ iter =  2200
training @ iter =  2300
training @ iter =  2400
training @ iter =  2500
training @ iter =  2600
training @ iter =  2700
training @ iter =  2800
training @ iter =  2900
training @ iter =  3000
training @ iter =  3100
training @ iter =  3200
training @ iter =  3300
training @ iter =  3400
epoch 1, minibatch 3500/3500, validation error 1.320000 %
     epoch 1, minibatch 3500/3500, test error of best model 1.400000 %
training @ iter =  3500
training @ iter =  3600
training @ iter =  3700
training @ iter =  3800
training @ iter =  3900
training @ iter =  4000
training @ iter =  4100
training @ iter =  4200
training @ iter =  4300
training @ iter =  4400
training @ iter =  4500
training @ iter =  4600
training @ iter =  4700
training @ iter =  4800
training @ iter =  4900
training @ iter =  5000
training @ iter =  5100
training @ iter =  5200
training @ iter =  5300
training @ iter =  5400
training @ iter =  5500
training @ iter =  5600
training @ iter =  5700
training @ iter =  5800
training @ iter =  5900
training @ iter =  6000
training @ iter =  6100
training @ iter =  6200
training @ iter =  6300
training @ iter =  6400
training @ iter =  6500
training @ iter =  6600
training @ iter =  6700
training @ iter =  6800
training @ iter =  6900
epoch 2, minibatch 3500/3500, validation error 1.020000 %
     epoch 2, minibatch 3500/3500, test error of best model 1.000000 %
training @ iter =  7000
training @ iter =  7100
training @ iter =  7200
training @ iter =  7300
training @ iter =  7400
training @ iter =  7500
training @ iter =  7600
training @ iter =  7700
training @ iter =  7800
training @ iter =  7900
training @ iter =  8000
training @ iter =  8100
training @ iter =  8200
training @ iter =  8300
training @ iter =  8400
training @ iter =  8500
training @ iter =  8600
training @ iter =  8700
training @ iter =  8800
training @ iter =  8900
training @ iter =  9000
training @ iter =  9100
training @ iter =  9200
training @ iter =  9300
training @ iter =  9400
training @ iter =  9500
training @ iter =  9600
training @ iter =  9700
training @ iter =  9800
training @ iter =  9900
training @ iter =  10000
training @ iter =  10100
training @ iter =  10200
training @ iter =  10300
training @ iter =  10400
epoch 3, minibatch 3500/3500, validation error 0.840000 %
     epoch 3, minibatch 3500/3500, test error of best model 0.830000 %
training @ iter =  10500
training @ iter =  10600
training @ iter =  10700
training @ iter =  10800
training @ iter =  10900
training @ iter =  11000
training @ iter =  11100
training @ iter =  11200
training @ iter =  11300
training @ iter =  11400
training @ iter =  11500
training @ iter =  11600
training @ iter =  11700
training @ iter =  11800
training @ iter =  11900
training @ iter =  12000
training @ iter =  12100
training @ iter =  12200
training @ iter =  12300
training @ iter =  12400
training @ iter =  12500
training @ iter =  12600
training @ iter =  12700
training @ iter =  12800
training @ iter =  12900
training @ iter =  13000
training @ iter =  13100
training @ iter =  13200
training @ iter =  13300
training @ iter =  13400
training @ iter =  13500
training @ iter =  13600
training @ iter =  13700
training @ iter =  13800
training @ iter =  13900
epoch 4, minibatch 3500/3500, validation error 0.780000 %
     epoch 4, minibatch 3500/3500, test error of best model 0.760000 %
training @ iter =  14000
training @ iter =  14100
training @ iter =  14200
training @ iter =  14300
training @ iter =  14400
training @ iter =  14500
training @ iter =  14600
training @ iter =  14700
training @ iter =  14800
training @ iter =  14900
training @ iter =  15000
training @ iter =  15100
training @ iter =  15200
training @ iter =  15300
training @ iter =  15400
training @ iter =  15500
training @ iter =  15600
training @ iter =  15700
training @ iter =  15800
training @ iter =  15900
training @ iter =  16000
training @ iter =  16100
training @ iter =  16200
training @ iter =  16300
training @ iter =  16400
training @ iter =  16500
training @ iter =  16600
training @ iter =  16700
training @ iter =  16800
training @ iter =  16900
training @ iter =  17000
training @ iter =  17100
training @ iter =  17200
training @ iter =  17300
training @ iter =  17400
epoch 5, minibatch 3500/3500, validation error 0.710000 %
     epoch 5, minibatch 3500/3500, test error of best model 0.700000 %
training @ iter =  17500
training @ iter =  17600
training @ iter =  17700
training @ iter =  17800
training @ iter =  17900
training @ iter =  18000
training @ iter =  18100
training @ iter =  18200
training @ iter =  18300
training @ iter =  18400
training @ iter =  18500
training @ iter =  18600
training @ iter =  18700
training @ iter =  18800
training @ iter =  18900
training @ iter =  19000
training @ iter =  19100
training @ iter =  19200
training @ iter =  19300
training @ iter =  19400
training @ iter =  19500
training @ iter =  19600
training @ iter =  19700
training @ iter =  19800
training @ iter =  19900
training @ iter =  20000
training @ iter =  20100
training @ iter =  20200
training @ iter =  20300
training @ iter =  20400
training @ iter =  20500
training @ iter =  20600
training @ iter =  20700
training @ iter =  20800
training @ iter =  20900
epoch 6, minibatch 3500/3500, validation error 0.680000 %
     epoch 6, minibatch 3500/3500, test error of best model 0.660000 %
training @ iter =  21000
training @ iter =  21100
training @ iter =  21200
training @ iter =  21300
training @ iter =  21400
training @ iter =  21500
training @ iter =  21600
training @ iter =  21700
training @ iter =  21800
training @ iter =  21900
training @ iter =  22000
training @ iter =  22100
training @ iter =  22200
training @ iter =  22300
training @ iter =  22400
training @ iter =  22500
training @ iter =  22600
training @ iter =  22700
training @ iter =  22800
training @ iter =  22900
training @ iter =  23000
training @ iter =  23100
training @ iter =  23200
training @ iter =  23300
training @ iter =  23400
training @ iter =  23500
training @ iter =  23600
training @ iter =  23700
training @ iter =  23800
training @ iter =  23900
training @ iter =  24000
training @ iter =  24100
training @ iter =  24200
training @ iter =  24300
training @ iter =  24400
epoch 7, minibatch 3500/3500, validation error 0.660000 %
     epoch 7, minibatch 3500/3500, test error of best model 0.600000 %
training @ iter =  24500
training @ iter =  24600
training @ iter =  24700
training @ iter =  24800
training @ iter =  24900
training @ iter =  25000
training @ iter =  25100
training @ iter =  25200
training @ iter =  25300
training @ iter =  25400
training @ iter =  25500
training @ iter =  25600
training @ iter =  25700
training @ iter =  25800
training @ iter =  25900
training @ iter =  26000
training @ iter =  26100
training @ iter =  26200
training @ iter =  26300
training @ iter =  26400
training @ iter =  26500
training @ iter =  26600
training @ iter =  26700
training @ iter =  26800
training @ iter =  26900
training @ iter =  27000
training @ iter =  27100
training @ iter =  27200
training @ iter =  27300
training @ iter =  27400
training @ iter =  27500
training @ iter =  27600
training @ iter =  27700
training @ iter =  27800
training @ iter =  27900
epoch 8, minibatch 3500/3500, validation error 0.610000 %
     epoch 8, minibatch 3500/3500, test error of best model 0.580000 %
training @ iter =  28000
training @ iter =  28100
training @ iter =  28200
training @ iter =  28300
training @ iter =  28400
training @ iter =  28500
training @ iter =  28600
training @ iter =  28700
training @ iter =  28800
training @ iter =  28900
training @ iter =  29000
training @ iter =  29100
training @ iter =  29200
training @ iter =  29300
training @ iter =  29400
training @ iter =  29500
training @ iter =  29600
training @ iter =  29700
training @ iter =  29800
training @ iter =  29900
training @ iter =  30000
training @ iter =  30100
training @ iter =  30200
training @ iter =  30300
training @ iter =  30400
training @ iter =  30500
training @ iter =  30600
training @ iter =  30700
training @ iter =  30800
training @ iter =  30900
training @ iter =  31000
training @ iter =  31100
training @ iter =  31200
training @ iter =  31300
training @ iter =  31400
epoch 9, minibatch 3500/3500, validation error 0.570000 %
     epoch 9, minibatch 3500/3500, test error of best model 0.580000 %
training @ iter =  31500
training @ iter =  31600
training @ iter =  31700
training @ iter =  31800
training @ iter =  31900
training @ iter =  32000
training @ iter =  32100
training @ iter =  32200
training @ iter =  32300
training @ iter =  32400
training @ iter =  32500
training @ iter =  32600
training @ iter =  32700
training @ iter =  32800
training @ iter =  32900
training @ iter =  33000
training @ iter =  33100
training @ iter =  33200
training @ iter =  33300
training @ iter =  33400
training @ iter =  33500
training @ iter =  33600
training @ iter =  33700
training @ iter =  33800
training @ iter =  33900
training @ iter =  34000
training @ iter =  34100
training @ iter =  34200
training @ iter =  34300
training @ iter =  34400
training @ iter =  34500
training @ iter =  34600
training @ iter =  34700
training @ iter =  34800
training @ iter =  34900
epoch 10, minibatch 3500/3500, validation error 0.590000 %
training @ iter =  35000
training @ iter =  35100
training @ iter =  35200
training @ iter =  35300
training @ iter =  35400
training @ iter =  35500
training @ iter =  35600
training @ iter =  35700
training @ iter =  35800
training @ iter =  35900
training @ iter =  36000
training @ iter =  36100
training @ iter =  36200
training @ iter =  36300
training @ iter =  36400
training @ iter =  36500
training @ iter =  36600
training @ iter =  36700
training @ iter =  36800
training @ iter =  36900
training @ iter =  37000
training @ iter =  37100
training @ iter =  37200
training @ iter =  37300
training @ iter =  37400
training @ iter =  37500
training @ iter =  37600
training @ iter =  37700
training @ iter =  37800
training @ iter =  37900
training @ iter =  38000
training @ iter =  38100
training @ iter =  38200
training @ iter =  38300
training @ iter =  38400
epoch 11, minibatch 3500/3500, validation error 0.550000 %
     epoch 11, minibatch 3500/3500, test error of best model 0.560000 %
training @ iter =  38500
training @ iter =  38600
training @ iter =  38700
training @ iter =  38800
training @ iter =  38900
training @ iter =  39000
training @ iter =  39100
training @ iter =  39200
training @ iter =  39300
training @ iter =  39400
training @ iter =  39500
training @ iter =  39600
training @ iter =  39700
training @ iter =  39800
training @ iter =  39900
training @ iter =  40000
training @ iter =  40100
training @ iter =  40200
training @ iter =  40300
training @ iter =  40400
training @ iter =  40500
training @ iter =  40600
training @ iter =  40700
training @ iter =  40800
training @ iter =  40900
training @ iter =  41000
training @ iter =  41100
training @ iter =  41200
training @ iter =  41300
training @ iter =  41400
training @ iter =  41500
training @ iter =  41600
training @ iter =  41700
training @ iter =  41800
training @ iter =  41900
epoch 12, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  42000
training @ iter =  42100
training @ iter =  42200
training @ iter =  42300
training @ iter =  42400
training @ iter =  42500
training @ iter =  42600
training @ iter =  42700
training @ iter =  42800
training @ iter =  42900
training @ iter =  43000
training @ iter =  43100
training @ iter =  43200
training @ iter =  43300
training @ iter =  43400
training @ iter =  43500
training @ iter =  43600
training @ iter =  43700
training @ iter =  43800
training @ iter =  43900
training @ iter =  44000
training @ iter =  44100
training @ iter =  44200
training @ iter =  44300
training @ iter =  44400
training @ iter =  44500
training @ iter =  44600
training @ iter =  44700
training @ iter =  44800
training @ iter =  44900
training @ iter =  45000
training @ iter =  45100
training @ iter =  45200
training @ iter =  45300
training @ iter =  45400
epoch 13, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  45500
training @ iter =  45600
training @ iter =  45700
training @ iter =  45800
training @ iter =  45900
training @ iter =  46000
training @ iter =  46100
training @ iter =  46200
training @ iter =  46300
training @ iter =  46400
training @ iter =  46500
training @ iter =  46600
training @ iter =  46700
training @ iter =  46800
training @ iter =  46900
training @ iter =  47000
training @ iter =  47100
training @ iter =  47200
training @ iter =  47300
training @ iter =  47400
training @ iter =  47500
training @ iter =  47600
training @ iter =  47700
training @ iter =  47800
training @ iter =  47900
training @ iter =  48000
training @ iter =  48100
training @ iter =  48200
training @ iter =  48300
training @ iter =  48400
training @ iter =  48500
training @ iter =  48600
training @ iter =  48700
training @ iter =  48800
training @ iter =  48900
epoch 14, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  49000
training @ iter =  49100
training @ iter =  49200
training @ iter =  49300
training @ iter =  49400
training @ iter =  49500
training @ iter =  49600
training @ iter =  49700
training @ iter =  49800
training @ iter =  49900
training @ iter =  50000
training @ iter =  50100
training @ iter =  50200
training @ iter =  50300
training @ iter =  50400
training @ iter =  50500
training @ iter =  50600
training @ iter =  50700
training @ iter =  50800
training @ iter =  50900
training @ iter =  51000
training @ iter =  51100
training @ iter =  51200
training @ iter =  51300
training @ iter =  51400
training @ iter =  51500
training @ iter =  51600
training @ iter =  51700
training @ iter =  51800
training @ iter =  51900
training @ iter =  52000
training @ iter =  52100
training @ iter =  52200
training @ iter =  52300
training @ iter =  52400
epoch 15, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  52500
training @ iter =  52600
training @ iter =  52700
training @ iter =  52800
training @ iter =  52900
training @ iter =  53000
training @ iter =  53100
training @ iter =  53200
training @ iter =  53300
training @ iter =  53400
training @ iter =  53500
training @ iter =  53600
training @ iter =  53700
training @ iter =  53800
training @ iter =  53900
training @ iter =  54000
training @ iter =  54100
training @ iter =  54200
training @ iter =  54300
training @ iter =  54400
training @ iter =  54500
training @ iter =  54600
training @ iter =  54700
training @ iter =  54800
training @ iter =  54900
training @ iter =  55000
training @ iter =  55100
training @ iter =  55200
training @ iter =  55300
training @ iter =  55400
training @ iter =  55500
training @ iter =  55600
training @ iter =  55700
training @ iter =  55800
training @ iter =  55900
epoch 16, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  56000
training @ iter =  56100
training @ iter =  56200
training @ iter =  56300
training @ iter =  56400
training @ iter =  56500
training @ iter =  56600
training @ iter =  56700
training @ iter =  56800
training @ iter =  56900
training @ iter =  57000
training @ iter =  57100
training @ iter =  57200
training @ iter =  57300
training @ iter =  57400
training @ iter =  57500
training @ iter =  57600
training @ iter =  57700
training @ iter =  57800
training @ iter =  57900
training @ iter =  58000
training @ iter =  58100
training @ iter =  58200
training @ iter =  58300
training @ iter =  58400
training @ iter =  58500
training @ iter =  58600
training @ iter =  58700
training @ iter =  58800
training @ iter =  58900
training @ iter =  59000
training @ iter =  59100
training @ iter =  59200
training @ iter =  59300
training @ iter =  59400
epoch 17, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  59500
training @ iter =  59600
training @ iter =  59700
training @ iter =  59800
training @ iter =  59900
training @ iter =  60000
training @ iter =  60100
training @ iter =  60200
training @ iter =  60300
training @ iter =  60400
training @ iter =  60500
training @ iter =  60600
training @ iter =  60700
training @ iter =  60800
training @ iter =  60900
training @ iter =  61000
training @ iter =  61100
training @ iter =  61200
training @ iter =  61300
training @ iter =  61400
training @ iter =  61500
training @ iter =  61600
training @ iter =  61700
training @ iter =  61800
training @ iter =  61900
training @ iter =  62000
training @ iter =  62100
training @ iter =  62200
training @ iter =  62300
training @ iter =  62400
training @ iter =  62500
training @ iter =  62600
training @ iter =  62700
training @ iter =  62800
training @ iter =  62900
epoch 18, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  63000
training @ iter =  63100
training @ iter =  63200
training @ iter =  63300
training @ iter =  63400
training @ iter =  63500
training @ iter =  63600
training @ iter =  63700
training @ iter =  63800
training @ iter =  63900
training @ iter =  64000
training @ iter =  64100
training @ iter =  64200
training @ iter =  64300
training @ iter =  64400
training @ iter =  64500
training @ iter =  64600
training @ iter =  64700
training @ iter =  64800
training @ iter =  64900
training @ iter =  65000
training @ iter =  65100
training @ iter =  65200
training @ iter =  65300
training @ iter =  65400
training @ iter =  65500
training @ iter =  65600
training @ iter =  65700
training @ iter =  65800
training @ iter =  65900
training @ iter =  66000
training @ iter =  66100
training @ iter =  66200
training @ iter =  66300
training @ iter =  66400
epoch 19, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  66500
training @ iter =  66600
training @ iter =  66700
training @ iter =  66800
training @ iter =  66900
training @ iter =  67000
training @ iter =  67100
training @ iter =  67200
training @ iter =  67300
training @ iter =  67400
training @ iter =  67500
training @ iter =  67600
training @ iter =  67700
training @ iter =  67800
training @ iter =  67900
training @ iter =  68000
training @ iter =  68100
training @ iter =  68200
training @ iter =  68300
training @ iter =  68400
training @ iter =  68500
training @ iter =  68600
training @ iter =  68700
training @ iter =  68800
training @ iter =  68900
training @ iter =  69000
training @ iter =  69100
training @ iter =  69200
training @ iter =  69300
training @ iter =  69400
training @ iter =  69500
training @ iter =  69600
training @ iter =  69700
training @ iter =  69800
training @ iter =  69900
epoch 20, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  70000
training @ iter =  70100
training @ iter =  70200
training @ iter =  70300
training @ iter =  70400
training @ iter =  70500
training @ iter =  70600
training @ iter =  70700
training @ iter =  70800
training @ iter =  70900
training @ iter =  71000
training @ iter =  71100
training @ iter =  71200
training @ iter =  71300
training @ iter =  71400
training @ iter =  71500
training @ iter =  71600
training @ iter =  71700
training @ iter =  71800
training @ iter =  71900
training @ iter =  72000
training @ iter =  72100
training @ iter =  72200
training @ iter =  72300
training @ iter =  72400
training @ iter =  72500
training @ iter =  72600
training @ iter =  72700
training @ iter =  72800
training @ iter =  72900
training @ iter =  73000
training @ iter =  73100
training @ iter =  73200
training @ iter =  73300
training @ iter =  73400
epoch 21, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  73500
training @ iter =  73600
training @ iter =  73700
training @ iter =  73800
training @ iter =  73900
training @ iter =  74000
training @ iter =  74100
training @ iter =  74200
training @ iter =  74300
training @ iter =  74400
training @ iter =  74500
training @ iter =  74600
training @ iter =  74700
training @ iter =  74800
training @ iter =  74900
training @ iter =  75000
training @ iter =  75100
training @ iter =  75200
training @ iter =  75300
training @ iter =  75400
training @ iter =  75500
training @ iter =  75600
training @ iter =  75700
training @ iter =  75800
training @ iter =  75900
training @ iter =  76000
training @ iter =  76100
training @ iter =  76200
training @ iter =  76300
training @ iter =  76400
training @ iter =  76500
training @ iter =  76600
training @ iter =  76700
training @ iter =  76800
training @ iter =  76900
Optimization complete.
Best validation score of 0.550000 % obtained at iteration 38500, with test performance 0.560000 %
Saving Model as "mcdnn_slice1_dsmnist_elastic_4_34_nm16_trail0_time_1448538955"...
... train 0 column of normalization 18
... num_epochs 400
... loading data
Loaded DS on RAM
... normalizing digits to width 18 with extra padding 1
... sharing data
... building the dnn column
... training
training @ iter =  0
training @ iter =  100
training @ iter =  200
training @ iter =  300
training @ iter =  400
training @ iter =  500
training @ iter =  600
training @ iter =  700
training @ iter =  800
training @ iter =  900
training @ iter =  1000
training @ iter =  1100
training @ iter =  1200
training @ iter =  1300
training @ iter =  1400
training @ iter =  1500
training @ iter =  1600
training @ iter =  1700
training @ iter =  1800
training @ iter =  1900
training @ iter =  2000
training @ iter =  2100
training @ iter =  2200
training @ iter =  2300
training @ iter =  2400
training @ iter =  2500
training @ iter =  2600
training @ iter =  2700
training @ iter =  2800
training @ iter =  2900
training @ iter =  3000
training @ iter =  3100
training @ iter =  3200
training @ iter =  3300
training @ iter =  3400
epoch 1, minibatch 3500/3500, validation error 1.370000 %
     epoch 1, minibatch 3500/3500, test error of best model 1.270000 %
training @ iter =  3500
training @ iter =  3600
training @ iter =  3700
training @ iter =  3800
training @ iter =  3900
training @ iter =  4000
training @ iter =  4100
training @ iter =  4200
training @ iter =  4300
training @ iter =  4400
training @ iter =  4500
training @ iter =  4600
training @ iter =  4700
training @ iter =  4800
training @ iter =  4900
training @ iter =  5000
training @ iter =  5100
training @ iter =  5200
training @ iter =  5300
training @ iter =  5400
training @ iter =  5500
training @ iter =  5600
training @ iter =  5700
training @ iter =  5800
training @ iter =  5900
training @ iter =  6000
training @ iter =  6100
training @ iter =  6200
training @ iter =  6300
training @ iter =  6400
training @ iter =  6500
training @ iter =  6600
training @ iter =  6700
training @ iter =  6800
training @ iter =  6900
epoch 2, minibatch 3500/3500, validation error 1.080000 %
     epoch 2, minibatch 3500/3500, test error of best model 0.990000 %
training @ iter =  7000
training @ iter =  7100
training @ iter =  7200
training @ iter =  7300
training @ iter =  7400
training @ iter =  7500
training @ iter =  7600
training @ iter =  7700
training @ iter =  7800
training @ iter =  7900
training @ iter =  8000
training @ iter =  8100
training @ iter =  8200
training @ iter =  8300
training @ iter =  8400
training @ iter =  8500
training @ iter =  8600
training @ iter =  8700
training @ iter =  8800
training @ iter =  8900
training @ iter =  9000
training @ iter =  9100
training @ iter =  9200
training @ iter =  9300
training @ iter =  9400
training @ iter =  9500
training @ iter =  9600
training @ iter =  9700
training @ iter =  9800
training @ iter =  9900
training @ iter =  10000
training @ iter =  10100
training @ iter =  10200
training @ iter =  10300
training @ iter =  10400
epoch 3, minibatch 3500/3500, validation error 0.830000 %
     epoch 3, minibatch 3500/3500, test error of best model 0.870000 %
training @ iter =  10500
training @ iter =  10600
training @ iter =  10700
training @ iter =  10800
training @ iter =  10900
training @ iter =  11000
training @ iter =  11100
training @ iter =  11200
training @ iter =  11300
training @ iter =  11400
training @ iter =  11500
training @ iter =  11600
training @ iter =  11700
training @ iter =  11800
training @ iter =  11900
training @ iter =  12000
training @ iter =  12100
training @ iter =  12200
training @ iter =  12300
training @ iter =  12400
training @ iter =  12500
training @ iter =  12600
training @ iter =  12700
training @ iter =  12800
training @ iter =  12900
training @ iter =  13000
training @ iter =  13100
training @ iter =  13200
training @ iter =  13300
training @ iter =  13400
training @ iter =  13500
training @ iter =  13600
training @ iter =  13700
training @ iter =  13800
training @ iter =  13900
epoch 4, minibatch 3500/3500, validation error 0.800000 %
     epoch 4, minibatch 3500/3500, test error of best model 0.810000 %
training @ iter =  14000
training @ iter =  14100
training @ iter =  14200
training @ iter =  14300
training @ iter =  14400
training @ iter =  14500
training @ iter =  14600
training @ iter =  14700
training @ iter =  14800
training @ iter =  14900
training @ iter =  15000
training @ iter =  15100
training @ iter =  15200
training @ iter =  15300
training @ iter =  15400
training @ iter =  15500
training @ iter =  15600
training @ iter =  15700
training @ iter =  15800
training @ iter =  15900
training @ iter =  16000
training @ iter =  16100
training @ iter =  16200
training @ iter =  16300
training @ iter =  16400
training @ iter =  16500
training @ iter =  16600
training @ iter =  16700
training @ iter =  16800
training @ iter =  16900
training @ iter =  17000
training @ iter =  17100
training @ iter =  17200
training @ iter =  17300
training @ iter =  17400
epoch 5, minibatch 3500/3500, validation error 0.780000 %
     epoch 5, minibatch 3500/3500, test error of best model 0.760000 %
training @ iter =  17500
training @ iter =  17600
training @ iter =  17700
training @ iter =  17800
training @ iter =  17900
training @ iter =  18000
training @ iter =  18100
training @ iter =  18200
training @ iter =  18300
training @ iter =  18400
training @ iter =  18500
training @ iter =  18600
training @ iter =  18700
training @ iter =  18800
training @ iter =  18900
training @ iter =  19000
training @ iter =  19100
training @ iter =  19200
training @ iter =  19300
training @ iter =  19400
training @ iter =  19500
training @ iter =  19600
training @ iter =  19700
training @ iter =  19800
training @ iter =  19900
training @ iter =  20000
training @ iter =  20100
training @ iter =  20200
training @ iter =  20300
training @ iter =  20400
training @ iter =  20500
training @ iter =  20600
training @ iter =  20700
training @ iter =  20800
training @ iter =  20900
epoch 6, minibatch 3500/3500, validation error 0.770000 %
     epoch 6, minibatch 3500/3500, test error of best model 0.670000 %
training @ iter =  21000
training @ iter =  21100
training @ iter =  21200
training @ iter =  21300
training @ iter =  21400
training @ iter =  21500
training @ iter =  21600
training @ iter =  21700
training @ iter =  21800
training @ iter =  21900
training @ iter =  22000
training @ iter =  22100
training @ iter =  22200
training @ iter =  22300
training @ iter =  22400
training @ iter =  22500
training @ iter =  22600
training @ iter =  22700
training @ iter =  22800
training @ iter =  22900
training @ iter =  23000
training @ iter =  23100
training @ iter =  23200
training @ iter =  23300
training @ iter =  23400
training @ iter =  23500
training @ iter =  23600
training @ iter =  23700
training @ iter =  23800
training @ iter =  23900
training @ iter =  24000
training @ iter =  24100
training @ iter =  24200
training @ iter =  24300
training @ iter =  24400
epoch 7, minibatch 3500/3500, validation error 0.710000 %
     epoch 7, minibatch 3500/3500, test error of best model 0.670000 %
training @ iter =  24500
training @ iter =  24600
training @ iter =  24700
training @ iter =  24800
training @ iter =  24900
training @ iter =  25000
training @ iter =  25100
training @ iter =  25200
training @ iter =  25300
training @ iter =  25400
training @ iter =  25500
training @ iter =  25600
training @ iter =  25700
training @ iter =  25800
training @ iter =  25900
training @ iter =  26000
training @ iter =  26100
training @ iter =  26200
training @ iter =  26300
training @ iter =  26400
training @ iter =  26500
training @ iter =  26600
training @ iter =  26700
training @ iter =  26800
training @ iter =  26900
training @ iter =  27000
training @ iter =  27100
training @ iter =  27200
training @ iter =  27300
training @ iter =  27400
training @ iter =  27500
training @ iter =  27600
training @ iter =  27700
training @ iter =  27800
training @ iter =  27900
epoch 8, minibatch 3500/3500, validation error 0.660000 %
     epoch 8, minibatch 3500/3500, test error of best model 0.650000 %
training @ iter =  28000
training @ iter =  28100
training @ iter =  28200
training @ iter =  28300
training @ iter =  28400
training @ iter =  28500
training @ iter =  28600
training @ iter =  28700
training @ iter =  28800
training @ iter =  28900
training @ iter =  29000
training @ iter =  29100
training @ iter =  29200
training @ iter =  29300
training @ iter =  29400
training @ iter =  29500
training @ iter =  29600
training @ iter =  29700
training @ iter =  29800
training @ iter =  29900
training @ iter =  30000
training @ iter =  30100
training @ iter =  30200
training @ iter =  30300
training @ iter =  30400
training @ iter =  30500
training @ iter =  30600
training @ iter =  30700
training @ iter =  30800
training @ iter =  30900
training @ iter =  31000
training @ iter =  31100
training @ iter =  31200
training @ iter =  31300
training @ iter =  31400
epoch 9, minibatch 3500/3500, validation error 0.660000 %
training @ iter =  31500
training @ iter =  31600
training @ iter =  31700
training @ iter =  31800
training @ iter =  31900
training @ iter =  32000
training @ iter =  32100
training @ iter =  32200
training @ iter =  32300
training @ iter =  32400
training @ iter =  32500
training @ iter =  32600
training @ iter =  32700
training @ iter =  32800
training @ iter =  32900
training @ iter =  33000
training @ iter =  33100
training @ iter =  33200
training @ iter =  33300
training @ iter =  33400
training @ iter =  33500
training @ iter =  33600
training @ iter =  33700
training @ iter =  33800
training @ iter =  33900
training @ iter =  34000
training @ iter =  34100
training @ iter =  34200
training @ iter =  34300
training @ iter =  34400
training @ iter =  34500
training @ iter =  34600
training @ iter =  34700
training @ iter =  34800
training @ iter =  34900
epoch 10, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  35000
training @ iter =  35100
training @ iter =  35200
training @ iter =  35300
training @ iter =  35400
training @ iter =  35500
training @ iter =  35600
training @ iter =  35700
training @ iter =  35800
training @ iter =  35900
training @ iter =  36000
training @ iter =  36100
training @ iter =  36200
training @ iter =  36300
training @ iter =  36400
training @ iter =  36500
training @ iter =  36600
training @ iter =  36700
training @ iter =  36800
training @ iter =  36900
training @ iter =  37000
training @ iter =  37100
training @ iter =  37200
training @ iter =  37300
training @ iter =  37400
training @ iter =  37500
training @ iter =  37600
training @ iter =  37700
training @ iter =  37800
training @ iter =  37900
training @ iter =  38000
training @ iter =  38100
training @ iter =  38200
training @ iter =  38300
training @ iter =  38400
epoch 11, minibatch 3500/3500, validation error 0.650000 %
     epoch 11, minibatch 3500/3500, test error of best model 0.590000 %
training @ iter =  38500
training @ iter =  38600
training @ iter =  38700
training @ iter =  38800
training @ iter =  38900
training @ iter =  39000
training @ iter =  39100
training @ iter =  39200
training @ iter =  39300
training @ iter =  39400
training @ iter =  39500
training @ iter =  39600
training @ iter =  39700
training @ iter =  39800
training @ iter =  39900
training @ iter =  40000
training @ iter =  40100
training @ iter =  40200
training @ iter =  40300
training @ iter =  40400
training @ iter =  40500
training @ iter =  40600
training @ iter =  40700
training @ iter =  40800
training @ iter =  40900
training @ iter =  41000
training @ iter =  41100
training @ iter =  41200
training @ iter =  41300
training @ iter =  41400
training @ iter =  41500
training @ iter =  41600
training @ iter =  41700
training @ iter =  41800
training @ iter =  41900
epoch 12, minibatch 3500/3500, validation error 0.630000 %
     epoch 12, minibatch 3500/3500, test error of best model 0.580000 %
training @ iter =  42000
training @ iter =  42100
training @ iter =  42200
training @ iter =  42300
training @ iter =  42400
training @ iter =  42500
training @ iter =  42600
training @ iter =  42700
training @ iter =  42800
training @ iter =  42900
training @ iter =  43000
training @ iter =  43100
training @ iter =  43200
training @ iter =  43300
training @ iter =  43400
training @ iter =  43500
training @ iter =  43600
training @ iter =  43700
training @ iter =  43800
training @ iter =  43900
training @ iter =  44000
training @ iter =  44100
training @ iter =  44200
training @ iter =  44300
training @ iter =  44400
training @ iter =  44500
training @ iter =  44600
training @ iter =  44700
training @ iter =  44800
training @ iter =  44900
training @ iter =  45000
training @ iter =  45100
training @ iter =  45200
training @ iter =  45300
training @ iter =  45400
epoch 13, minibatch 3500/3500, validation error 0.650000 %
training @ iter =  45500
training @ iter =  45600
training @ iter =  45700
training @ iter =  45800
training @ iter =  45900
training @ iter =  46000
training @ iter =  46100
training @ iter =  46200
training @ iter =  46300
training @ iter =  46400
training @ iter =  46500
training @ iter =  46600
training @ iter =  46700
training @ iter =  46800
training @ iter =  46900
training @ iter =  47000
training @ iter =  47100
training @ iter =  47200
training @ iter =  47300
training @ iter =  47400
training @ iter =  47500
training @ iter =  47600
training @ iter =  47700
training @ iter =  47800
training @ iter =  47900
training @ iter =  48000
training @ iter =  48100
training @ iter =  48200
training @ iter =  48300
training @ iter =  48400
training @ iter =  48500
training @ iter =  48600
training @ iter =  48700
training @ iter =  48800
training @ iter =  48900
epoch 14, minibatch 3500/3500, validation error 0.680000 %
training @ iter =  49000
training @ iter =  49100
training @ iter =  49200
training @ iter =  49300
training @ iter =  49400
training @ iter =  49500
training @ iter =  49600
training @ iter =  49700
training @ iter =  49800
training @ iter =  49900
training @ iter =  50000
training @ iter =  50100
training @ iter =  50200
training @ iter =  50300
training @ iter =  50400
training @ iter =  50500
training @ iter =  50600
training @ iter =  50700
training @ iter =  50800
training @ iter =  50900
training @ iter =  51000
training @ iter =  51100
training @ iter =  51200
training @ iter =  51300
training @ iter =  51400
training @ iter =  51500
training @ iter =  51600
training @ iter =  51700
training @ iter =  51800
training @ iter =  51900
training @ iter =  52000
training @ iter =  52100
training @ iter =  52200
training @ iter =  52300
training @ iter =  52400
epoch 15, minibatch 3500/3500, validation error 0.680000 %
training @ iter =  52500
training @ iter =  52600
training @ iter =  52700
training @ iter =  52800
training @ iter =  52900
training @ iter =  53000
training @ iter =  53100
training @ iter =  53200
training @ iter =  53300
training @ iter =  53400
training @ iter =  53500
training @ iter =  53600
training @ iter =  53700
training @ iter =  53800
training @ iter =  53900
training @ iter =  54000
training @ iter =  54100
training @ iter =  54200
training @ iter =  54300
training @ iter =  54400
training @ iter =  54500
training @ iter =  54600
training @ iter =  54700
training @ iter =  54800
training @ iter =  54900
training @ iter =  55000
training @ iter =  55100
training @ iter =  55200
training @ iter =  55300
training @ iter =  55400
training @ iter =  55500
training @ iter =  55600
training @ iter =  55700
training @ iter =  55800
training @ iter =  55900
epoch 16, minibatch 3500/3500, validation error 0.680000 %
training @ iter =  56000
training @ iter =  56100
training @ iter =  56200
training @ iter =  56300
training @ iter =  56400
training @ iter =  56500
training @ iter =  56600
training @ iter =  56700
training @ iter =  56800
training @ iter =  56900
training @ iter =  57000
training @ iter =  57100
training @ iter =  57200
training @ iter =  57300
training @ iter =  57400
training @ iter =  57500
training @ iter =  57600
training @ iter =  57700
training @ iter =  57800
training @ iter =  57900
training @ iter =  58000
training @ iter =  58100
training @ iter =  58200
training @ iter =  58300
training @ iter =  58400
training @ iter =  58500
training @ iter =  58600
training @ iter =  58700
training @ iter =  58800
training @ iter =  58900
training @ iter =  59000
training @ iter =  59100
training @ iter =  59200
training @ iter =  59300
training @ iter =  59400
epoch 17, minibatch 3500/3500, validation error 0.670000 %
training @ iter =  59500
training @ iter =  59600
training @ iter =  59700
training @ iter =  59800
training @ iter =  59900
training @ iter =  60000
training @ iter =  60100
training @ iter =  60200
training @ iter =  60300
training @ iter =  60400
training @ iter =  60500
training @ iter =  60600
training @ iter =  60700
training @ iter =  60800
training @ iter =  60900
training @ iter =  61000
training @ iter =  61100
training @ iter =  61200
training @ iter =  61300
training @ iter =  61400
training @ iter =  61500
training @ iter =  61600
training @ iter =  61700
training @ iter =  61800
training @ iter =  61900
training @ iter =  62000
training @ iter =  62100
training @ iter =  62200
training @ iter =  62300
training @ iter =  62400
training @ iter =  62500
training @ iter =  62600
training @ iter =  62700
training @ iter =  62800
training @ iter =  62900
epoch 18, minibatch 3500/3500, validation error 0.690000 %
training @ iter =  63000
training @ iter =  63100
training @ iter =  63200
training @ iter =  63300
training @ iter =  63400
training @ iter =  63500
training @ iter =  63600
training @ iter =  63700
training @ iter =  63800
training @ iter =  63900
training @ iter =  64000
training @ iter =  64100
training @ iter =  64200
training @ iter =  64300
training @ iter =  64400
training @ iter =  64500
training @ iter =  64600
training @ iter =  64700
training @ iter =  64800
training @ iter =  64900
training @ iter =  65000
training @ iter =  65100
training @ iter =  65200
training @ iter =  65300
training @ iter =  65400
training @ iter =  65500
training @ iter =  65600
training @ iter =  65700
training @ iter =  65800
training @ iter =  65900
training @ iter =  66000
training @ iter =  66100
training @ iter =  66200
training @ iter =  66300
training @ iter =  66400
epoch 19, minibatch 3500/3500, validation error 0.710000 %
training @ iter =  66500
training @ iter =  66600
training @ iter =  66700
training @ iter =  66800
training @ iter =  66900
training @ iter =  67000
training @ iter =  67100
training @ iter =  67200
training @ iter =  67300
training @ iter =  67400
training @ iter =  67500
training @ iter =  67600
training @ iter =  67700
training @ iter =  67800
training @ iter =  67900
training @ iter =  68000
training @ iter =  68100
training @ iter =  68200
training @ iter =  68300
training @ iter =  68400
training @ iter =  68500
training @ iter =  68600
training @ iter =  68700
training @ iter =  68800
training @ iter =  68900
training @ iter =  69000
training @ iter =  69100
training @ iter =  69200
training @ iter =  69300
training @ iter =  69400
training @ iter =  69500
training @ iter =  69600
training @ iter =  69700
training @ iter =  69800
training @ iter =  69900
epoch 20, minibatch 3500/3500, validation error 0.710000 %
training @ iter =  70000
training @ iter =  70100
training @ iter =  70200
training @ iter =  70300
training @ iter =  70400
training @ iter =  70500
training @ iter =  70600
training @ iter =  70700
training @ iter =  70800
training @ iter =  70900
training @ iter =  71000
training @ iter =  71100
training @ iter =  71200
training @ iter =  71300
training @ iter =  71400
training @ iter =  71500
training @ iter =  71600
training @ iter =  71700
training @ iter =  71800
training @ iter =  71900
training @ iter =  72000
training @ iter =  72100
training @ iter =  72200
training @ iter =  72300
training @ iter =  72400
training @ iter =  72500
training @ iter =  72600
training @ iter =  72700
training @ iter =  72800
training @ iter =  72900
training @ iter =  73000
training @ iter =  73100
training @ iter =  73200
training @ iter =  73300
training @ iter =  73400
epoch 21, minibatch 3500/3500, validation error 0.730000 %
training @ iter =  73500
training @ iter =  73600
training @ iter =  73700
training @ iter =  73800
training @ iter =  73900
training @ iter =  74000
training @ iter =  74100
training @ iter =  74200
training @ iter =  74300
training @ iter =  74400
training @ iter =  74500
training @ iter =  74600
training @ iter =  74700
training @ iter =  74800
training @ iter =  74900
training @ iter =  75000
training @ iter =  75100
training @ iter =  75200
training @ iter =  75300
training @ iter =  75400
training @ iter =  75500
training @ iter =  75600
training @ iter =  75700
training @ iter =  75800
training @ iter =  75900
training @ iter =  76000
training @ iter =  76100
training @ iter =  76200
training @ iter =  76300
training @ iter =  76400
training @ iter =  76500
training @ iter =  76600
training @ iter =  76700
training @ iter =  76800
training @ iter =  76900
epoch 22, minibatch 3500/3500, validation error 0.720000 %
training @ iter =  77000
training @ iter =  77100
training @ iter =  77200
training @ iter =  77300
training @ iter =  77400
training @ iter =  77500
training @ iter =  77600
training @ iter =  77700
training @ iter =  77800
training @ iter =  77900
training @ iter =  78000
training @ iter =  78100
training @ iter =  78200
training @ iter =  78300
training @ iter =  78400
training @ iter =  78500
training @ iter =  78600
training @ iter =  78700
training @ iter =  78800
training @ iter =  78900
training @ iter =  79000
training @ iter =  79100
training @ iter =  79200
training @ iter =  79300
training @ iter =  79400
training @ iter =  79500
training @ iter =  79600
training @ iter =  79700
training @ iter =  79800
training @ iter =  79900
training @ iter =  80000
training @ iter =  80100
training @ iter =  80200
training @ iter =  80300
training @ iter =  80400
epoch 23, minibatch 3500/3500, validation error 0.750000 %
training @ iter =  80500
training @ iter =  80600
training @ iter =  80700
training @ iter =  80800
training @ iter =  80900
training @ iter =  81000
training @ iter =  81100
training @ iter =  81200
training @ iter =  81300
training @ iter =  81400
training @ iter =  81500
training @ iter =  81600
training @ iter =  81700
training @ iter =  81800
training @ iter =  81900
training @ iter =  82000
training @ iter =  82100
training @ iter =  82200
training @ iter =  82300
training @ iter =  82400
training @ iter =  82500
training @ iter =  82600
training @ iter =  82700
training @ iter =  82800
training @ iter =  82900
training @ iter =  83000
training @ iter =  83100
training @ iter =  83200
training @ iter =  83300
training @ iter =  83400
training @ iter =  83500
training @ iter =  83600
training @ iter =  83700
training @ iter =  83800
training @ iter =  83900
Optimization complete.
Best validation score of 0.630000 % obtained at iteration 42000, with test performance 0.580000 %
Saving Model as "mcdnn_slice1_dsmnist_elastic_4_34_nm18_trail0_time_1448540899"...
... train 0 column of normalization 20
... num_epochs 400
... loading data
Loaded DS on RAM
... normalizing digits to width 20 with extra padding 1
... sharing data
... building the dnn column
... training
training @ iter =  0
training @ iter =  100
training @ iter =  200
training @ iter =  300
training @ iter =  400
training @ iter =  500
training @ iter =  600
training @ iter =  700
training @ iter =  800
training @ iter =  900
training @ iter =  1000
training @ iter =  1100
training @ iter =  1200
training @ iter =  1300
training @ iter =  1400
training @ iter =  1500
training @ iter =  1600
training @ iter =  1700
training @ iter =  1800
training @ iter =  1900
training @ iter =  2000
training @ iter =  2100
training @ iter =  2200
training @ iter =  2300
training @ iter =  2400
training @ iter =  2500
training @ iter =  2600
training @ iter =  2700
training @ iter =  2800
training @ iter =  2900
training @ iter =  3000
training @ iter =  3100
training @ iter =  3200
training @ iter =  3300
training @ iter =  3400
epoch 1, minibatch 3500/3500, validation error 1.350000 %
     epoch 1, minibatch 3500/3500, test error of best model 1.290000 %
training @ iter =  3500
training @ iter =  3600
training @ iter =  3700
training @ iter =  3800
training @ iter =  3900
training @ iter =  4000
training @ iter =  4100
training @ iter =  4200
training @ iter =  4300
training @ iter =  4400
training @ iter =  4500
training @ iter =  4600
training @ iter =  4700
training @ iter =  4800
training @ iter =  4900
training @ iter =  5000
training @ iter =  5100
training @ iter =  5200
training @ iter =  5300
training @ iter =  5400
training @ iter =  5500
training @ iter =  5600
training @ iter =  5700
training @ iter =  5800
training @ iter =  5900
training @ iter =  6000
training @ iter =  6100
training @ iter =  6200
training @ iter =  6300
training @ iter =  6400
training @ iter =  6500
training @ iter =  6600
training @ iter =  6700
training @ iter =  6800
training @ iter =  6900
epoch 2, minibatch 3500/3500, validation error 1.070000 %
     epoch 2, minibatch 3500/3500, test error of best model 0.940000 %
training @ iter =  7000
training @ iter =  7100
training @ iter =  7200
training @ iter =  7300
training @ iter =  7400
training @ iter =  7500
training @ iter =  7600
training @ iter =  7700
training @ iter =  7800
training @ iter =  7900
training @ iter =  8000
training @ iter =  8100
training @ iter =  8200
training @ iter =  8300
training @ iter =  8400
training @ iter =  8500
training @ iter =  8600
training @ iter =  8700
training @ iter =  8800
training @ iter =  8900
training @ iter =  9000
training @ iter =  9100
training @ iter =  9200
training @ iter =  9300
training @ iter =  9400
training @ iter =  9500
training @ iter =  9600
training @ iter =  9700
training @ iter =  9800
training @ iter =  9900
training @ iter =  10000
training @ iter =  10100
training @ iter =  10200
training @ iter =  10300
training @ iter =  10400
epoch 3, minibatch 3500/3500, validation error 0.960000 %
     epoch 3, minibatch 3500/3500, test error of best model 0.770000 %
training @ iter =  10500
training @ iter =  10600
training @ iter =  10700
training @ iter =  10800
training @ iter =  10900
training @ iter =  11000
training @ iter =  11100
training @ iter =  11200
training @ iter =  11300
training @ iter =  11400
training @ iter =  11500
training @ iter =  11600
training @ iter =  11700
training @ iter =  11800
training @ iter =  11900
training @ iter =  12000
training @ iter =  12100
training @ iter =  12200
training @ iter =  12300
training @ iter =  12400
training @ iter =  12500
training @ iter =  12600
training @ iter =  12700
training @ iter =  12800
training @ iter =  12900
training @ iter =  13000
training @ iter =  13100
training @ iter =  13200
training @ iter =  13300
training @ iter =  13400
training @ iter =  13500
training @ iter =  13600
training @ iter =  13700
training @ iter =  13800
training @ iter =  13900
epoch 4, minibatch 3500/3500, validation error 0.920000 %
     epoch 4, minibatch 3500/3500, test error of best model 0.720000 %
training @ iter =  14000
training @ iter =  14100
training @ iter =  14200
training @ iter =  14300
training @ iter =  14400
training @ iter =  14500
training @ iter =  14600
training @ iter =  14700
training @ iter =  14800
training @ iter =  14900
training @ iter =  15000
training @ iter =  15100
training @ iter =  15200
training @ iter =  15300
training @ iter =  15400
training @ iter =  15500
training @ iter =  15600
training @ iter =  15700
training @ iter =  15800
training @ iter =  15900
training @ iter =  16000
training @ iter =  16100
training @ iter =  16200
training @ iter =  16300
training @ iter =  16400
training @ iter =  16500
training @ iter =  16600
training @ iter =  16700
training @ iter =  16800
training @ iter =  16900
training @ iter =  17000
training @ iter =  17100
training @ iter =  17200
training @ iter =  17300
training @ iter =  17400
epoch 5, minibatch 3500/3500, validation error 0.810000 %
     epoch 5, minibatch 3500/3500, test error of best model 0.660000 %
training @ iter =  17500
training @ iter =  17600
training @ iter =  17700
training @ iter =  17800
training @ iter =  17900
training @ iter =  18000
training @ iter =  18100
training @ iter =  18200
training @ iter =  18300
training @ iter =  18400
training @ iter =  18500
training @ iter =  18600
training @ iter =  18700
training @ iter =  18800
training @ iter =  18900
training @ iter =  19000
training @ iter =  19100
training @ iter =  19200
training @ iter =  19300
training @ iter =  19400
training @ iter =  19500
training @ iter =  19600
training @ iter =  19700
training @ iter =  19800
training @ iter =  19900
training @ iter =  20000
training @ iter =  20100
training @ iter =  20200
training @ iter =  20300
training @ iter =  20400
training @ iter =  20500
training @ iter =  20600
training @ iter =  20700
training @ iter =  20800
training @ iter =  20900
epoch 6, minibatch 3500/3500, validation error 0.740000 %
     epoch 6, minibatch 3500/3500, test error of best model 0.640000 %
training @ iter =  21000
training @ iter =  21100
training @ iter =  21200
training @ iter =  21300
training @ iter =  21400
training @ iter =  21500
training @ iter =  21600
training @ iter =  21700
training @ iter =  21800
training @ iter =  21900
training @ iter =  22000
training @ iter =  22100
training @ iter =  22200
training @ iter =  22300
training @ iter =  22400
training @ iter =  22500
training @ iter =  22600
training @ iter =  22700
training @ iter =  22800
training @ iter =  22900
training @ iter =  23000
training @ iter =  23100
training @ iter =  23200
training @ iter =  23300
training @ iter =  23400
training @ iter =  23500
training @ iter =  23600
training @ iter =  23700
training @ iter =  23800
training @ iter =  23900
training @ iter =  24000
training @ iter =  24100
training @ iter =  24200
training @ iter =  24300
training @ iter =  24400
epoch 7, minibatch 3500/3500, validation error 0.690000 %
     epoch 7, minibatch 3500/3500, test error of best model 0.580000 %
training @ iter =  24500
training @ iter =  24600
training @ iter =  24700
training @ iter =  24800
training @ iter =  24900
training @ iter =  25000
training @ iter =  25100
training @ iter =  25200
training @ iter =  25300
training @ iter =  25400
training @ iter =  25500
training @ iter =  25600
training @ iter =  25700
training @ iter =  25800
training @ iter =  25900
training @ iter =  26000
training @ iter =  26100
training @ iter =  26200
training @ iter =  26300
training @ iter =  26400
training @ iter =  26500
training @ iter =  26600
training @ iter =  26700
training @ iter =  26800
training @ iter =  26900
training @ iter =  27000
training @ iter =  27100
training @ iter =  27200
training @ iter =  27300
training @ iter =  27400
training @ iter =  27500
training @ iter =  27600
training @ iter =  27700
training @ iter =  27800
training @ iter =  27900
epoch 8, minibatch 3500/3500, validation error 0.650000 %
     epoch 8, minibatch 3500/3500, test error of best model 0.550000 %
training @ iter =  28000
training @ iter =  28100
training @ iter =  28200
training @ iter =  28300
training @ iter =  28400
training @ iter =  28500
training @ iter =  28600
training @ iter =  28700
training @ iter =  28800
training @ iter =  28900
training @ iter =  29000
training @ iter =  29100
training @ iter =  29200
training @ iter =  29300
training @ iter =  29400
training @ iter =  29500
training @ iter =  29600
training @ iter =  29700
training @ iter =  29800
training @ iter =  29900
training @ iter =  30000
training @ iter =  30100
training @ iter =  30200
training @ iter =  30300
training @ iter =  30400
training @ iter =  30500
training @ iter =  30600
training @ iter =  30700
training @ iter =  30800
training @ iter =  30900
training @ iter =  31000
training @ iter =  31100
training @ iter =  31200
training @ iter =  31300
training @ iter =  31400
epoch 9, minibatch 3500/3500, validation error 0.620000 %
     epoch 9, minibatch 3500/3500, test error of best model 0.590000 %
training @ iter =  31500
training @ iter =  31600
training @ iter =  31700
training @ iter =  31800
training @ iter =  31900
training @ iter =  32000
training @ iter =  32100
training @ iter =  32200
training @ iter =  32300
training @ iter =  32400
training @ iter =  32500
training @ iter =  32600
training @ iter =  32700
training @ iter =  32800
training @ iter =  32900
training @ iter =  33000
training @ iter =  33100
training @ iter =  33200
training @ iter =  33300
training @ iter =  33400
training @ iter =  33500
training @ iter =  33600
training @ iter =  33700
training @ iter =  33800
training @ iter =  33900
training @ iter =  34000
training @ iter =  34100
training @ iter =  34200
training @ iter =  34300
training @ iter =  34400
training @ iter =  34500
training @ iter =  34600
training @ iter =  34700
training @ iter =  34800
training @ iter =  34900
epoch 10, minibatch 3500/3500, validation error 0.620000 %
training @ iter =  35000
training @ iter =  35100
training @ iter =  35200
training @ iter =  35300
training @ iter =  35400
training @ iter =  35500
training @ iter =  35600
training @ iter =  35700
training @ iter =  35800
training @ iter =  35900
training @ iter =  36000
training @ iter =  36100
training @ iter =  36200
training @ iter =  36300
training @ iter =  36400
training @ iter =  36500
training @ iter =  36600
training @ iter =  36700
training @ iter =  36800
training @ iter =  36900
training @ iter =  37000
training @ iter =  37100
training @ iter =  37200
training @ iter =  37300
training @ iter =  37400
training @ iter =  37500
training @ iter =  37600
training @ iter =  37700
training @ iter =  37800
training @ iter =  37900
training @ iter =  38000
training @ iter =  38100
training @ iter =  38200
training @ iter =  38300
training @ iter =  38400
epoch 11, minibatch 3500/3500, validation error 0.610000 %
     epoch 11, minibatch 3500/3500, test error of best model 0.590000 %
training @ iter =  38500
training @ iter =  38600
training @ iter =  38700
training @ iter =  38800
training @ iter =  38900
training @ iter =  39000
training @ iter =  39100
training @ iter =  39200
training @ iter =  39300
training @ iter =  39400
training @ iter =  39500
training @ iter =  39600
training @ iter =  39700
training @ iter =  39800
training @ iter =  39900
training @ iter =  40000
training @ iter =  40100
training @ iter =  40200
training @ iter =  40300
training @ iter =  40400
training @ iter =  40500
training @ iter =  40600
training @ iter =  40700
training @ iter =  40800
training @ iter =  40900
training @ iter =  41000
training @ iter =  41100
training @ iter =  41200
training @ iter =  41300
training @ iter =  41400
training @ iter =  41500
training @ iter =  41600
training @ iter =  41700
training @ iter =  41800
training @ iter =  41900
epoch 12, minibatch 3500/3500, validation error 0.570000 %
     epoch 12, minibatch 3500/3500, test error of best model 0.590000 %
training @ iter =  42000
training @ iter =  42100
training @ iter =  42200
training @ iter =  42300
training @ iter =  42400
training @ iter =  42500
training @ iter =  42600
training @ iter =  42700
training @ iter =  42800
training @ iter =  42900
training @ iter =  43000
training @ iter =  43100
training @ iter =  43200
training @ iter =  43300
training @ iter =  43400
training @ iter =  43500
training @ iter =  43600
training @ iter =  43700
training @ iter =  43800
training @ iter =  43900
training @ iter =  44000
training @ iter =  44100
training @ iter =  44200
training @ iter =  44300
training @ iter =  44400
training @ iter =  44500
training @ iter =  44600
training @ iter =  44700
training @ iter =  44800
training @ iter =  44900
training @ iter =  45000
training @ iter =  45100
training @ iter =  45200
training @ iter =  45300
training @ iter =  45400
epoch 13, minibatch 3500/3500, validation error 0.550000 %
     epoch 13, minibatch 3500/3500, test error of best model 0.610000 %
training @ iter =  45500
training @ iter =  45600
training @ iter =  45700
training @ iter =  45800
training @ iter =  45900
training @ iter =  46000
training @ iter =  46100
training @ iter =  46200
training @ iter =  46300
training @ iter =  46400
training @ iter =  46500
training @ iter =  46600
training @ iter =  46700
training @ iter =  46800
training @ iter =  46900
training @ iter =  47000
training @ iter =  47100
training @ iter =  47200
training @ iter =  47300
training @ iter =  47400
training @ iter =  47500
training @ iter =  47600
training @ iter =  47700
training @ iter =  47800
training @ iter =  47900
training @ iter =  48000
training @ iter =  48100
training @ iter =  48200
training @ iter =  48300
training @ iter =  48400
training @ iter =  48500
training @ iter =  48600
training @ iter =  48700
training @ iter =  48800
training @ iter =  48900
epoch 14, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  49000
training @ iter =  49100
training @ iter =  49200
training @ iter =  49300
training @ iter =  49400
training @ iter =  49500
training @ iter =  49600
training @ iter =  49700
training @ iter =  49800
training @ iter =  49900
training @ iter =  50000
training @ iter =  50100
training @ iter =  50200
training @ iter =  50300
training @ iter =  50400
training @ iter =  50500
training @ iter =  50600
training @ iter =  50700
training @ iter =  50800
training @ iter =  50900
training @ iter =  51000
training @ iter =  51100
training @ iter =  51200
training @ iter =  51300
training @ iter =  51400
training @ iter =  51500
training @ iter =  51600
training @ iter =  51700
training @ iter =  51800
training @ iter =  51900
training @ iter =  52000
training @ iter =  52100
training @ iter =  52200
training @ iter =  52300
training @ iter =  52400
epoch 15, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  52500
training @ iter =  52600
training @ iter =  52700
training @ iter =  52800
training @ iter =  52900
training @ iter =  53000
training @ iter =  53100
training @ iter =  53200
training @ iter =  53300
training @ iter =  53400
training @ iter =  53500
training @ iter =  53600
training @ iter =  53700
training @ iter =  53800
training @ iter =  53900
training @ iter =  54000
training @ iter =  54100
training @ iter =  54200
training @ iter =  54300
training @ iter =  54400
training @ iter =  54500
training @ iter =  54600
training @ iter =  54700
training @ iter =  54800
training @ iter =  54900
training @ iter =  55000
training @ iter =  55100
training @ iter =  55200
training @ iter =  55300
training @ iter =  55400
training @ iter =  55500
training @ iter =  55600
training @ iter =  55700
training @ iter =  55800
training @ iter =  55900
epoch 16, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  56000
training @ iter =  56100
training @ iter =  56200
training @ iter =  56300
training @ iter =  56400
training @ iter =  56500
training @ iter =  56600
training @ iter =  56700
training @ iter =  56800
training @ iter =  56900
training @ iter =  57000
training @ iter =  57100
training @ iter =  57200
training @ iter =  57300
training @ iter =  57400
training @ iter =  57500
training @ iter =  57600
training @ iter =  57700
training @ iter =  57800
training @ iter =  57900
training @ iter =  58000
training @ iter =  58100
training @ iter =  58200
training @ iter =  58300
training @ iter =  58400
training @ iter =  58500
training @ iter =  58600
training @ iter =  58700
training @ iter =  58800
training @ iter =  58900
training @ iter =  59000
training @ iter =  59100
training @ iter =  59200
training @ iter =  59300
training @ iter =  59400
epoch 17, minibatch 3500/3500, validation error 0.520000 %
     epoch 17, minibatch 3500/3500, test error of best model 0.580000 %
training @ iter =  59500
training @ iter =  59600
training @ iter =  59700
training @ iter =  59800
training @ iter =  59900
training @ iter =  60000
training @ iter =  60100
training @ iter =  60200
training @ iter =  60300
training @ iter =  60400
training @ iter =  60500
training @ iter =  60600
training @ iter =  60700
training @ iter =  60800
training @ iter =  60900
training @ iter =  61000
training @ iter =  61100
training @ iter =  61200
training @ iter =  61300
training @ iter =  61400
training @ iter =  61500
training @ iter =  61600
training @ iter =  61700
training @ iter =  61800
training @ iter =  61900
training @ iter =  62000
training @ iter =  62100
training @ iter =  62200
training @ iter =  62300
training @ iter =  62400
training @ iter =  62500
training @ iter =  62600
training @ iter =  62700
training @ iter =  62800
training @ iter =  62900
epoch 18, minibatch 3500/3500, validation error 0.530000 %
training @ iter =  63000
training @ iter =  63100
training @ iter =  63200
training @ iter =  63300
training @ iter =  63400
training @ iter =  63500
training @ iter =  63600
training @ iter =  63700
training @ iter =  63800
training @ iter =  63900
training @ iter =  64000
training @ iter =  64100
training @ iter =  64200
training @ iter =  64300
training @ iter =  64400
training @ iter =  64500
training @ iter =  64600
training @ iter =  64700
training @ iter =  64800
training @ iter =  64900
training @ iter =  65000
training @ iter =  65100
training @ iter =  65200
training @ iter =  65300
training @ iter =  65400
training @ iter =  65500
training @ iter =  65600
training @ iter =  65700
training @ iter =  65800
training @ iter =  65900
training @ iter =  66000
training @ iter =  66100
training @ iter =  66200
training @ iter =  66300
training @ iter =  66400
epoch 19, minibatch 3500/3500, validation error 0.550000 %
training @ iter =  66500
training @ iter =  66600
training @ iter =  66700
training @ iter =  66800
training @ iter =  66900
training @ iter =  67000
training @ iter =  67100
training @ iter =  67200
training @ iter =  67300
training @ iter =  67400
training @ iter =  67500
training @ iter =  67600
training @ iter =  67700
training @ iter =  67800
training @ iter =  67900
training @ iter =  68000
training @ iter =  68100
training @ iter =  68200
training @ iter =  68300
training @ iter =  68400
training @ iter =  68500
training @ iter =  68600
training @ iter =  68700
training @ iter =  68800
training @ iter =  68900
training @ iter =  69000
training @ iter =  69100
training @ iter =  69200
training @ iter =  69300
training @ iter =  69400
training @ iter =  69500
training @ iter =  69600
training @ iter =  69700
training @ iter =  69800
training @ iter =  69900
epoch 20, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  70000
training @ iter =  70100
training @ iter =  70200
training @ iter =  70300
training @ iter =  70400
training @ iter =  70500
training @ iter =  70600
training @ iter =  70700
training @ iter =  70800
training @ iter =  70900
training @ iter =  71000
training @ iter =  71100
training @ iter =  71200
training @ iter =  71300
training @ iter =  71400
training @ iter =  71500
training @ iter =  71600
training @ iter =  71700
training @ iter =  71800
training @ iter =  71900
training @ iter =  72000
training @ iter =  72100
training @ iter =  72200
training @ iter =  72300
training @ iter =  72400
training @ iter =  72500
training @ iter =  72600
training @ iter =  72700
training @ iter =  72800
training @ iter =  72900
training @ iter =  73000
training @ iter =  73100
training @ iter =  73200
training @ iter =  73300
training @ iter =  73400
epoch 21, minibatch 3500/3500, validation error 0.540000 %
training @ iter =  73500
training @ iter =  73600
training @ iter =  73700
training @ iter =  73800
training @ iter =  73900
training @ iter =  74000
training @ iter =  74100
training @ iter =  74200
training @ iter =  74300
training @ iter =  74400
training @ iter =  74500
training @ iter =  74600
training @ iter =  74700
training @ iter =  74800
training @ iter =  74900
training @ iter =  75000
training @ iter =  75100
training @ iter =  75200
training @ iter =  75300
training @ iter =  75400
training @ iter =  75500
training @ iter =  75600
training @ iter =  75700
training @ iter =  75800
training @ iter =  75900
training @ iter =  76000
training @ iter =  76100
training @ iter =  76200
training @ iter =  76300
training @ iter =  76400
training @ iter =  76500
training @ iter =  76600
training @ iter =  76700
training @ iter =  76800
training @ iter =  76900
epoch 22, minibatch 3500/3500, validation error 0.560000 %
training @ iter =  77000
training @ iter =  77100
training @ iter =  77200
training @ iter =  77300
training @ iter =  77400
training @ iter =  77500
training @ iter =  77600
training @ iter =  77700
training @ iter =  77800
training @ iter =  77900
training @ iter =  78000
training @ iter =  78100
training @ iter =  78200
training @ iter =  78300
training @ iter =  78400
training @ iter =  78500
training @ iter =  78600
training @ iter =  78700
training @ iter =  78800
training @ iter =  78900
training @ iter =  79000
training @ iter =  79100
training @ iter =  79200
training @ iter =  79300
training @ iter =  79400
training @ iter =  79500
training @ iter =  79600
training @ iter =  79700
training @ iter =  79800
training @ iter =  79900
training @ iter =  80000
training @ iter =  80100
training @ iter =  80200
training @ iter =  80300
training @ iter =  80400
epoch 23, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  80500
training @ iter =  80600
training @ iter =  80700
training @ iter =  80800
training @ iter =  80900
training @ iter =  81000
training @ iter =  81100
training @ iter =  81200
training @ iter =  81300
training @ iter =  81400
training @ iter =  81500
training @ iter =  81600
training @ iter =  81700
training @ iter =  81800
training @ iter =  81900
training @ iter =  82000
training @ iter =  82100
training @ iter =  82200
training @ iter =  82300
training @ iter =  82400
training @ iter =  82500
training @ iter =  82600
training @ iter =  82700
training @ iter =  82800
training @ iter =  82900
training @ iter =  83000
training @ iter =  83100
training @ iter =  83200
training @ iter =  83300
training @ iter =  83400
training @ iter =  83500
training @ iter =  83600
training @ iter =  83700
training @ iter =  83800
training @ iter =  83900
epoch 24, minibatch 3500/3500, validation error 0.570000 %
training @ iter =  84000
training @ iter =  84100
training @ iter =  84200
training @ iter =  84300
training @ iter =  84400
training @ iter =  84500
training @ iter =  84600
training @ iter =  84700
training @ iter =  84800
training @ iter =  84900
training @ iter =  85000
training @ iter =  85100
training @ iter =  85200
training @ iter =  85300
training @ iter =  85400
training @ iter =  85500
training @ iter =  85600
training @ iter =  85700
training @ iter =  85800
training @ iter =  85900
training @ iter =  86000
training @ iter =  86100
training @ iter =  86200
training @ iter =  86300
training @ iter =  86400
training @ iter =  86500
training @ iter =  86600
training @ iter =  86700
training @ iter =  86800
training @ iter =  86900
training @ iter =  87000
training @ iter =  87100
training @ iter =  87200
training @ iter =  87300
training @ iter =  87400
epoch 25, minibatch 3500/3500, validation error 0.580000 %
training @ iter =  87500
training @ iter =  87600
training @ iter =  87700
training @ iter =  87800
training @ iter =  87900
training @ iter =  88000
training @ iter =  88100
training @ iter =  88200
training @ iter =  88300
training @ iter =  88400
training @ iter =  88500
training @ iter =  88600
training @ iter =  88700
training @ iter =  88800
training @ iter =  88900
training @ iter =  89000
training @ iter =  89100
training @ iter =  89200
training @ iter =  89300
training @ iter =  89400
training @ iter =  89500
training @ iter =  89600
training @ iter =  89700
training @ iter =  89800
training @ iter =  89900
training @ iter =  90000
training @ iter =  90100
training @ iter =  90200
training @ iter =  90300
training @ iter =  90400
training @ iter =  90500
training @ iter =  90600
training @ iter =  90700
training @ iter =  90800
training @ iter =  90900
epoch 26, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  91000
training @ iter =  91100
training @ iter =  91200
training @ iter =  91300
training @ iter =  91400
training @ iter =  91500
training @ iter =  91600
training @ iter =  91700
training @ iter =  91800
training @ iter =  91900
training @ iter =  92000
training @ iter =  92100
training @ iter =  92200
training @ iter =  92300
training @ iter =  92400
training @ iter =  92500
training @ iter =  92600
training @ iter =  92700
training @ iter =  92800
training @ iter =  92900
training @ iter =  93000
training @ iter =  93100
training @ iter =  93200
training @ iter =  93300
training @ iter =  93400
training @ iter =  93500
training @ iter =  93600
training @ iter =  93700
training @ iter =  93800
training @ iter =  93900
training @ iter =  94000
training @ iter =  94100
training @ iter =  94200
training @ iter =  94300
training @ iter =  94400
epoch 27, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  94500
training @ iter =  94600
training @ iter =  94700
training @ iter =  94800
training @ iter =  94900
training @ iter =  95000
training @ iter =  95100
training @ iter =  95200
training @ iter =  95300
training @ iter =  95400
training @ iter =  95500
training @ iter =  95600
training @ iter =  95700
training @ iter =  95800
training @ iter =  95900
training @ iter =  96000
training @ iter =  96100
training @ iter =  96200
training @ iter =  96300
training @ iter =  96400
training @ iter =  96500
training @ iter =  96600
training @ iter =  96700
training @ iter =  96800
training @ iter =  96900
training @ iter =  97000
training @ iter =  97100
training @ iter =  97200
training @ iter =  97300
training @ iter =  97400
training @ iter =  97500
training @ iter =  97600
training @ iter =  97700
training @ iter =  97800
training @ iter =  97900
epoch 28, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  98000
training @ iter =  98100
training @ iter =  98200
training @ iter =  98300
training @ iter =  98400
training @ iter =  98500
training @ iter =  98600
training @ iter =  98700
training @ iter =  98800
training @ iter =  98900
training @ iter =  99000
training @ iter =  99100
training @ iter =  99200
training @ iter =  99300
training @ iter =  99400
training @ iter =  99500
training @ iter =  99600
training @ iter =  99700
training @ iter =  99800
training @ iter =  99900
training @ iter =  100000
training @ iter =  100100
training @ iter =  100200
training @ iter =  100300
training @ iter =  100400
training @ iter =  100500
training @ iter =  100600
training @ iter =  100700
training @ iter =  100800
training @ iter =  100900
training @ iter =  101000
training @ iter =  101100
training @ iter =  101200
training @ iter =  101300
training @ iter =  101400
epoch 29, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  101500
training @ iter =  101600
training @ iter =  101700
training @ iter =  101800
training @ iter =  101900
training @ iter =  102000
training @ iter =  102100
training @ iter =  102200
training @ iter =  102300
training @ iter =  102400
training @ iter =  102500
training @ iter =  102600
training @ iter =  102700
training @ iter =  102800
training @ iter =  102900
training @ iter =  103000
training @ iter =  103100
training @ iter =  103200
training @ iter =  103300
training @ iter =  103400
training @ iter =  103500
training @ iter =  103600
training @ iter =  103700
training @ iter =  103800
training @ iter =  103900
training @ iter =  104000
training @ iter =  104100
training @ iter =  104200
training @ iter =  104300
training @ iter =  104400
training @ iter =  104500
training @ iter =  104600
training @ iter =  104700
training @ iter =  104800
training @ iter =  104900
epoch 30, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  105000
training @ iter =  105100
training @ iter =  105200
training @ iter =  105300
training @ iter =  105400
training @ iter =  105500
training @ iter =  105600
training @ iter =  105700
training @ iter =  105800
training @ iter =  105900
training @ iter =  106000
training @ iter =  106100
training @ iter =  106200
training @ iter =  106300
training @ iter =  106400
training @ iter =  106500
training @ iter =  106600
training @ iter =  106700
training @ iter =  106800
training @ iter =  106900
training @ iter =  107000
training @ iter =  107100
training @ iter =  107200
training @ iter =  107300
training @ iter =  107400
training @ iter =  107500
training @ iter =  107600
training @ iter =  107700
training @ iter =  107800
training @ iter =  107900
training @ iter =  108000
training @ iter =  108100
training @ iter =  108200
training @ iter =  108300
training @ iter =  108400
epoch 31, minibatch 3500/3500, validation error 0.600000 %
training @ iter =  108500
training @ iter =  108600
training @ iter =  108700
training @ iter =  108800
training @ iter =  108900
training @ iter =  109000
training @ iter =  109100
training @ iter =  109200
training @ iter =  109300
training @ iter =  109400
training @ iter =  109500
training @ iter =  109600
training @ iter =  109700
training @ iter =  109800
training @ iter =  109900
training @ iter =  110000
training @ iter =  110100
training @ iter =  110200
training @ iter =  110300
training @ iter =  110400
training @ iter =  110500
training @ iter =  110600
training @ iter =  110700
training @ iter =  110800
training @ iter =  110900
training @ iter =  111000
training @ iter =  111100
training @ iter =  111200
training @ iter =  111300
training @ iter =  111400
training @ iter =  111500
training @ iter =  111600
training @ iter =  111700
training @ iter =  111800
training @ iter =  111900
epoch 32, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  112000
training @ iter =  112100
training @ iter =  112200
training @ iter =  112300
training @ iter =  112400
training @ iter =  112500
training @ iter =  112600
training @ iter =  112700
training @ iter =  112800
training @ iter =  112900
training @ iter =  113000
training @ iter =  113100
training @ iter =  113200
training @ iter =  113300
training @ iter =  113400
training @ iter =  113500
training @ iter =  113600
training @ iter =  113700
training @ iter =  113800
training @ iter =  113900
training @ iter =  114000
training @ iter =  114100
training @ iter =  114200
training @ iter =  114300
training @ iter =  114400
training @ iter =  114500
training @ iter =  114600
training @ iter =  114700
training @ iter =  114800
training @ iter =  114900
training @ iter =  115000
training @ iter =  115100
training @ iter =  115200
training @ iter =  115300
training @ iter =  115400
epoch 33, minibatch 3500/3500, validation error 0.610000 %
training @ iter =  115500
training @ iter =  115600
training @ iter =  115700
training @ iter =  115800
training @ iter =  115900
training @ iter =  116000
training @ iter =  116100
training @ iter =  116200
training @ iter =  116300
training @ iter =  116400
training @ iter =  116500
training @ iter =  116600
training @ iter =  116700
training @ iter =  116800
training @ iter =  116900
training @ iter =  117000
training @ iter =  117100
training @ iter =  117200
training @ iter =  117300
training @ iter =  117400
training @ iter =  117500
training @ iter =  117600
training @ iter =  117700
training @ iter =  117800
training @ iter =  117900
training @ iter =  118000
training @ iter =  118100
training @ iter =  118200
training @ iter =  118300
training @ iter =  118400
training @ iter =  118500
training @ iter =  118600
training @ iter =  118700
training @ iter =  118800
training @ iter =  118900
Optimization complete.
Best validation score of 0.520000 % obtained at iteration 59500, with test performance 0.580000 %
Saving Model as "mcdnn_slice1_dsmnist_elastic_4_34_nm20_trail0_time_1448543618"...