pytorch-learning

Unit 1: Tensors and Gradients and Data Sets (mostly review of basic tools)

Unit 2: Linear Regression and its PyTorch Implementation

Unit 3: Logistic Regression and SoftMax Regression

Unit 4: (Deep) Neural Networks

Unit 5: Deep Networks: Optimization Methods (Regularization, Initialization, Momentum, Batch Normalization)

Unit 6: Convolutional Neural Networks and Computer Vision