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JAX is a Python library similar to NumPy for scientific computing and linear algebra, but designed to run on accelerators like Cuda-based GPUs and Google's TPUs.

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Google JAX on GitHub [ Ссылка ]
Tensorflow in 100 Seconds [ Ссылка ]
Cuda in 100 Seconds [ Ссылка ]
GPU vs TPU [ Ссылка ]


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🔖 Topics Covered

- JAX basics tutorial
- How does JAX work?
- JAXPpython explained quickly
- Pytorch alternative
- Tensorflow vs JAX
- How is calculus used on Machine Learning

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