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 |
- 📫 How to reach me @akshayuppal12
- 📄 Know about my experiences on LinkedIn
- Check out my blog for such papers, tutorials and more: https://au1206.github.io/