Kindly suggest the automatic differentiation process for output value in feed-forward neural network with respect to independent input variables.
like suppose “x ” and ” y ” are input variable at the input label of NN, and ” u “Is single output variable at output label of NN. Then, how to find the partial/ ordinary differentiation of y wrt “x” or “y”.
How far into the course are you right now?
I assure you that later on the differentiation is always “automatic”.
The 365 Team
I accessed the course ” Deep Learning in Tensorflow ” and have some ground knowledge into deep learning.
For, your kind information, I would like this answer for solving some mathematical problem using deep learning.
if you have any article related to it. kindly share the link.