The entire book can be found in notebook format here
This guide is a series of PyTorch tutorials adapted from Modern Computer Vision with Pytorch. During this walkthrough, you will acquire a solid basis of deep learning applied to computer vision, with minimal theory and a lot of hands-on examples and code snippets that you can easily reuse.
To learn more efficiently, I strongly advise you to read an exercise once and then try to reimplement it on Google Colab yourself (with free GPUs on). Try to debug it and make it work before looking at the solution :)
(To be continued)