[P] Extracting input-to-output gradients from a Keras model • r/MachineLearning

Hi, so I am coming from a background in linear algebra and traditional numerical gradient-based optimization, but excited by the advancements that have been made in deep learning. To get my feet wet a bit, I made a pretty simple NN model to do some non-linear regressions for me. I uploaded my jupyter notebookit as a gist here (renders properly on github), which is pretty short and to the point. It just fits the 1D function y (x - 5)2 / 25. I know that Theano and Tensorflow are, at their core, graph based derivative (gradient) passing frameworks.