NOTE:All the code as well as the diagrams are directly from the book.
The book is a fantastic way of learning pytorch and this summary is created in a way that anybody who is already familiar with DL and ML and wants to pick/revise pytorch can quickly go through the notebooks and get themselves up to speed.
Notebook | Corresponding Chapter in Book | |
---|---|---|
1. | 00_image_classification_inference.ipynb | Chapter 2 |
2. | 01_pytorch_tensors.ipynb | Chapter 3 |
3. | 02_pytorch101_dataloading.ipynb | Chapter 4 |
4. | 03_pytorch101_autograd&optimizers.ipynb | Chapter 5 |
- ๐ซ How to reach me @akshayuppal12
- ๐ Know about my experiences on LinkedIn
- Check out my blog for such papers, tutorials and more: https://au1206.github.io/