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
?? 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)