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Dropout layer #31

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Dan-RAI opened this issue Nov 13, 2017 · 1 comment
Open

Dropout layer #31

Dan-RAI opened this issue Nov 13, 2017 · 1 comment

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@Dan-RAI
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Dan-RAI commented Nov 13, 2017

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@Dan-RAI
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Dan-RAI commented Nov 13, 2017

I think we need regularization. Current results on MNIST (with the diagonal E-unit layer, normalized data):

25 hidden, 10 output, MSE, ~1000iter (batch size 1000):

Train 96% (taking only the first 10k pictures for training)
Test 91%

Same setup, but 50H:

Train 98% (only 10k for training)
Test 92%

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