Hi, Tom, sorry for not explaining explicitly on my question.
My ultimate question is that if I got a neural network loss function, can I get the 2nd derivative of the likelihood function with respect to every weight? It doesn’t have to be a hessian matrix, but just the diagonal of it.
Do you know if we can do it based on the current version?