Introduction to JAX and Deep Learning
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Introduction to JAX and its ecosystem of libraries.
JAX is a Python library designed for high-performance ML research. It is a powerful numerical computing library, just like Numpy, but with some key improvements.
In this course, you will learn all about JAX and its ecosystem of libraries (Haiku, Jraph, Chex, Flax, Optax). Addressing a wide range of audiences, you will cover several topics including linear algebra, random variables theory, pseudo-random number generation, and optimization algorithms.
By the end of this course, you will have a new set of skills that will make deep learning programming more intuitive, structured, and clean.
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