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Introduction to JAX and Deep Learning

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level

Intermediate

Duration

2h 30min

Lessons

53 Lessons

Category:

Introduction to JAX and its ecosystem of libraries.

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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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Introduction to JAX and Deep Learning
Introduction to JAX and Deep Learning
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