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 |
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| 1. | Tensors |  |
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| 2. | Variables | |
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| 3. | Automatic Differentiation | |
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| Chapter No | Topic |
Colab | Kaggle | Binder | GitHub |
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| 1. | DeviceArray | |
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| 2. | Pure Functions | |
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| 3. | PRNG | |
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| 4. | JIT | |
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| 5. | Vmap and Pmap | |
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| 6. | Automatic Differentiation | |
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| 7. | Pytrees | |
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