This repository is a collection of notes, code snippets, and small projects I created while learning PyTorch through FreeCodeCamp's tutorials.
It covers the basics of deep learning, including:
- Working with tensors
- Automatic differentiation
- Building neural networks
- Training and evaluating models
I'm using this repo to document my progress and get hands-on practice with PyTorch concepts.
Feel free to explore, clone, or use these notebooks and scripts as a reference for your own PyTorch learning!
🙌 Acknowledgements Thanks to FreeCodeCamp for their excellent PyTorch tutorials that guided this journey.