PyTorch for Deep Learning - Full Course / Tutorial

Channel:
United States freeCodeCamp.org
Subscribers:
10,700,000
Published on ● Video Link: https://www.youtube.com/watch?v=GIsg-ZUy0MY


Duration: 9:41:40
794,910 views
17,179

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)



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Tags:
deep learning
pytorch
neural network
python