This challenge is to return the WH_delta and WP_delta, given X, WH, WP, EPY using Sigmoid on the hidden layer and Softmax on the output layer. Test Cases will accumulate dWP and dWH to solve neural nets for XOR, AND, OR, and NAND.
[dPY,dWP,dHY,dWH]=Neural_Back_Propagation(X,WH,WP,EPY)
The Matlab Latex function for Back Propagation chart is in the function template.
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