All about the fundamental blocks of TF and JAX!
MIT License
Learn about TensorFlow and JAX but in a different way!
Meant for everyone (from novice to advanced users) Deep dive into the fundamental building blocks of the frameworks Aim to improve your understanding and to some extent the mental model of the API Not a typical documentation-type tutorial Runnable notebooks available
❌ Not a replacement of the documentation
Chapter No | Topic | Colab | Kaggle | Binder | GitHub |
---|---|---|---|---|---|
1. | Tensors | ||||
2. | Variables | ||||
3. | Automatic Differentiation | ||||
Chapter No | Topic | Colab | Kaggle | Binder | GitHub |
---|---|---|---|---|---|
1. | DeviceArray | ||||
2. | Pure Functions | ||||
3. | PRNG | ||||
4. | JIT | ||||
5. | Vmap and Pmap | ||||
6. | Automatic Differentiation | ||||
7. | Pytrees |