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.

⭐️ 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)

💻 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

#pytorch #python #deep-learning