In this course, you will learn how to build deep learning models with PyTorch and Python. The course makes PyTorch a bit more approachable for people starting out with deep learning and neural networks. Code: https://jovian.ml/aakashns/01-pytorch-basics https://jovian.ml/aakashns/02-linear-regression https://jovian.ml/aakashns/03-logistic-regression https://jovian.ml/aakashns/04-feedforward-nn https://jovian.ml/aakashns/05-cifar10-cnn https://jovian.ml/aakashns/05b-cifar10-resnet https://jovian.ml/aakashns/06-mnist-ganCourse Contents(0:00:00) Introduction(0:03:25) PyTorch Basics & Linear Regression(1:32:15) Image Classification with Logistic Regression(3:06:59) Training Deep Neural Networks on a GPU with PyTorch(4:44:51) Image Classification using Convolutional Neural Networks(6:35:11) Residual Networks, Data Augmentation and Regularization(8:12:08) Training Generative Adverserial Networks (GANs)