L
loss functions
Projects with this topic

This project provides several implementations that can be used to analyze Hessians associated with synthetic and empirical loss functions.
Updated 
Machine Learning Basics  implementation of: loss functions (cross entropy loss, L1 loss, L2 loss, hinge loss), regularizations (L1 regularizer, L2 regularizer, early stopping), gradient check, optimizers, training a simple deep model.
Updated