PyTorch Beginner Tutorials from "Patrick Loeber" YouTube channel.

Watch the Playlist

1. Installation
2. Tensor Basics
3. Autograd
4. Backpropagation
5. Gradient Descent With Autograd and Backpropagation
6. Training Pipeline: Model, Loss, and Optimizer
7. Linear Regression
8. Logistic Regression
9. Dataset and DataLoader
10. Dataset Transforms
11. Softmax And Cross Entropy
12. Activation Functions
13. Feed-Forward Neural Net
14. Convolutional Neural Net (CNN)
15. Transfer Learning
16. Tensorboard
17. Save and Load Models

There is a single notebook that contains all these tutorials combined. This notebook can be easily run on Google Colab (just open the notebook there).

The notebook is divided into sections. You can choose your desired section and run it independently from the rest of the notebook