The following is a collection of my resources, notes, and learning in ML and AI. It’s in a bit of organised chaos, and not designed for consumption by anyone other than myself for research and study. I hope you find it useful (maybe entertaining? ;) getting lost in the maze of links and content on ML and AI.
Mini-batch and Stochastic Gradient Descent
Overfitting, Regularizaion, Dropout
Todo