Lesson 1 - PyTorch Basics and Gradient Descent

Deep Learning with PyTorch: Zero to GANs

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Assignment 1 - All About torch.Tensor Lesson 2 - Working with Images and Logistic Regression Assignment 2 - Train Your First Model Lesson 3 - Training Deep Neural Networks on a GPU Assignment 3 - Feed Forward Neural Networks Lesson 4 - Image Classification with Convolutional Neural Networks Lesson 5 - Data Augmentation, Regularization & ResNets Lesson 6: Generative Adversarial Networks and Transfer Learning Project - Train a Deep Learning Model from Scratch

Hindi version: https://youtu.be/7yRkvPxE7Hs

We start this lesson with the basics of PyTorch: tensors, gradients, and Autograd. We then proceed to implement linear regression and gradient descent from scratch, first using matrix operations and then using PyTorch built-ins. Notebooks used in this lesson: