increasing batch size makes the training process sensibly faster.
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train.py
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train.py
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@ -13,7 +13,7 @@ BETA1 = 0.9
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BETA2 = 0.999
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EPSILON = 1e-8
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EPOCHS = 10
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BATCH_SIZE = 60
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BATCH_SIZE = 800
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HIDDEN_LAYERS = 4
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# Training images. It's a numpy array of size 60000x784.
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