gitlab.com / leo-plese / artificial-intelligence-machine-learning-deep-learning / machine-learning / machine-learning-basics

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/gitlab.com/repositories/leo-plese%2Fartificial-intelligence-machine-learning-deep-learning%2Fmachine-learning%2Fmachine-learning-basics

Topics: MNIST, Regularization, deep learning, deep models, gradient check, loss functions, machine learning, numpy, optimization, pycharm, python, pytorch

• Files
• Readme
• Dependencies