Hi all,
I have a model that has multiple inputs, and I was wondering if it is possible to find the gradients of the output with respect to the inputs.
The layout is as follows:
output = f(inp1, inp2, …)
To do so, we minimize the loss: Solve MSE optimization problem loss ||output-target||
Then after the model is trained I am interested in finding the sensitivities:
d(output)/d(inp1), d(output)/d(inp2), …
I believe it is doable, but I am not sure how. Any help/hint is appreciated.