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Computed gradients for a keras model in MATLAB

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James Walt
James Walt on 25 Jun 2018
Commented: James Walt on 26 Jun 2018
MATLAB via NN Toolbox now supports directly importing and working with keras models. Is it possible to compute gradients w.r.to input/output of any layer, similar to keras backend function K.gradients() ?

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Don Mathis
Don Mathis on 26 Jun 2018
If you're referring to the Tensorflow-Keras Importer support package, that imports a Keras model into MATLAB and returns a MATLAB (Neural Network Toolbox) model. The Keras model is not retained; it is translated into a MATLAB model, so you can only perform operations defined on MATLAB models from that point onward.

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James Walt
James Walt on 26 Jun 2018
@Don Mathis Thanks for a response, and clarification. Sorry but I still don’t have the full answer since I am new to MATLAB. I saw documentation which mentions defaultderiv() can be used to compute gradients but I am not sure how to use it to compute say dy_i/dx_ik where y_i is the ith target class/node and x_ik is the ith input/feature map at layer k.
Thanks

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