I'm trying to implement GD for standard task of NN training :) The best papers for practioneer I've founded so far are:1) Efficient BackProp by Yann LeCun et al.2) Stochastic Gradient Descent Tricks by Leon BottouAre there some other must read papers on this topic?Thank you!
What are some best papers on gradient descent for NN implementation?
neural network;gradient descent