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.
๐ป 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
โค๏ธ 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)
โญ๏ธ Course Contents โญ๏ธ
โจ๏ธ (0:00:00) Introduction
โจ๏ธ (0:03:25) PyTorch Basics & Linear Regression
โจ๏ธ (1:32:15) Image Classification with Logistic Regression
โจ๏ธ (3:06:59) Training Deep Neural Networks on a GPU with PyTorch
โจ๏ธ (4:44:51) Image Classification using Convolutional Neural Networks
โจ๏ธ (6:35:11) Residual Networks, Data Augmentation and Regularization
โจ๏ธ (8:12:08) Training Generative Adverserial Networks (GANs)
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