A practical way to view neural networks (whiteboard view)

 A whiteboard view:



You can take a decision matrix view of ReLU neural networks.

Instead of ReLU(Wx) you create a diagonal matrix with binary 1 or 0 entries according to the ReLU decisions (x>=0?)

Then conceptually a layer is DWx. Where D is doing row selection on W.

And in fact D does column selection on the weight matrix in the next layer.

That is very coarse parameter selection which is linear mapping selection.


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