With BPROP training I get 2.3% of errors in MNIST with just 1000 hidden units 2-layers net, no convolution layers. Pretty good AFAIK.
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oh also I see that the cost function is different in your case, I’m using RMS which is not ideal with softmax AFAIK.
you should be using cross entropy. Probability distributions are not an Euclidean space.
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for this problem for sure, but for the random Redis application of discovering data from users or alike?
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What are your targets?
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basically I want to pick something that kinda works for everything even if not optimal...
Thanks. Twitter will use this to make your timeline better. UndoUndo
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