take a Neural Network and create a new NN that gives the gradient.
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I found this function on the file exchange that does what I want but it is no longer compatible with the neural network toolbox functions. FEX function
Ideas on how to get the gradient or make the FEX function compatible with recent toolbox functions?
BTW, I do not want staticderiv, which computes the gradient of performance with respect to the network's weights and biases. I want the gradient of the output wrt to the input of the neural net.
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