Full Course - Data Science - PyTorch for Deep Learning - Full Course / Tutorial

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-gan ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Course 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)