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Network shape

Liam Niehus-Staab edited this page Apr 16, 2019 · 1 revision
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
conv2d (Conv2D)              (None, 256, 256, 64)      3200      
_________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 128, 128, 64)      0         
_________________________________________________________________
conv2d_1 (Conv2D)            (None, 128, 128, 192)     110784    
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 64, 64, 192)       0         
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 64, 64, 128)       24704     
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 64, 64, 256)       295168    
_________________________________________________________________
conv2d_4 (Conv2D)            (None, 64, 64, 256)       65792     
_________________________________________________________________
conv2d_5 (Conv2D)            (None, 64, 64, 512)       1180160   
_________________________________________________________________
max_pooling2d_2 (MaxPooling2 (None, 32, 32, 512)       0         
_________________________________________________________________
conv2d_6 (Conv2D)            (None, 32, 32, 256)       131328    
_________________________________________________________________
conv2d_7 (Conv2D)            (None, 32, 32, 512)       1180160   
_________________________________________________________________
conv2d_8 (Conv2D)            (None, 32, 32, 256)       131328    
_________________________________________________________________
conv2d_9 (Conv2D)            (None, 32, 32, 512)       1180160   
_________________________________________________________________
conv2d_10 (Conv2D)           (None, 32, 32, 256)       131328    
_________________________________________________________________
conv2d_11 (Conv2D)           (None, 32, 32, 512)       1180160   
_________________________________________________________________
conv2d_12 (Conv2D)           (None, 32, 32, 256)       131328    
_________________________________________________________________
conv2d_13 (Conv2D)           (None, 32, 32, 512)       1180160   
_________________________________________________________________
conv2d_14 (Conv2D)           (None, 32, 32, 512)       262656    
_________________________________________________________________
conv2d_15 (Conv2D)           (None, 32, 32, 1024)      4719616   
_________________________________________________________________
max_pooling2d_3 (MaxPooling2 (None, 16, 16, 1024)      0         
_________________________________________________________________
conv2d_16 (Conv2D)           (None, 16, 16, 512)       524800    
_________________________________________________________________
conv2d_17 (Conv2D)           (None, 16, 16, 1024)      4719616   
_________________________________________________________________
conv2d_18 (Conv2D)           (None, 16, 16, 512)       524800    
_________________________________________________________________
conv2d_19 (Conv2D)           (None, 16, 16, 1024)      4719616   
_________________________________________________________________
conv2d_20 (Conv2D)           (None, 16, 16, 1024)      9438208   
_________________________________________________________________
conv2d_21 (Conv2D)           (None, 8, 8, 1024)        9438208   
_________________________________________________________________
conv2d_22 (Conv2D)           (None, 8, 8, 1024)        9438208   
_________________________________________________________________
conv2d_23 (Conv2D)           (None, 8, 8, 1024)        9438208   
_________________________________________________________________
flatten (Flatten)            (None, 65536)             0         
_________________________________________________________________
dense (Dense)                (None, 1024)              67109888  
_________________________________________________________________
dense_1 (Dense)              (None, 4096)              4198400   
_________________________________________________________________
dense_2 (Dense)              (None, 4)                 16388     
=================================================================
Total params: 131,474,372
Trainable params: 131,474,372
Non-trainable params: 0
_________________________________________________________________
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