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.

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

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