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400 num_neurons is quite a lot, i trained a facial expression classifier in college a few years ago from images i got Online. That was for a basic feed forward classifier though, this is different.

The input layer was large but the hidden layer was only 12 neurons.

I'm still learning myself so i wouldn't be able to teach you. There are some great courses online.

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400 units is very small. Today's image classification neural nets have hundreds of thousands of units (units is my preferred non-biological synonym for "neuron")

I will try to use units in future.

To be fair the net i created could only handle human faces correctly oriented and only at a single low resolution.

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