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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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In RNN Back Propagation through time, why is the D(h_t)/D(h_(t-1)) diagonal?
I was going through backpropagation in time for RNN, in the deep learning book of Joshua Bengio et.al. (deep learning book , section 10.2.1 ).
Given a network as:
the book tells that the backpropa …