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Machine Learning Basics. MNIST Handwritten Digits Classification Using Deep Learning

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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.

machine lear... deep learning deep models loss functions Regularization optimization gradient check MNIST NumPy PyTorch Python pycharm

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July 18, 2021

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