Description
Together we live code (in a RISE slideshow) a fully-connected neural net from scratch via numpy, initially training it using a for-loop to demonstrate core concepts, and finally codifying it as a Scikit-learn classifier with which one can fit & predict on one’s own data. To close, I walk through a toy example which logistic regression can’t properly classify, but which our NN can.