How to define a new optimization function for Keras
In fact, after having looked at the Keras code of the Optimizer 2-3 times, not only did I quickly give up trying to understand everything, but it seemed to me that the get_updates function simply returns the gradients already calculated, where I seek to directly access the partial derivation functions of the parameters in order to use the derivatives of these derivatives. So the gradients are useless ...
I would like to implement for Keras a new optimization function that would not be based on the partial derivatives of the parameters, but also on the derivatives of these partial derivatives. How can I proceed?