JAX Fundamentals: NumPy Power-Up | CodeSignal Learn

Artificial Intelligence

220 learners

JAX Fundamentals: NumPy Power-Up

This course introduces JAX, a high-performance numerical computation library. You'll learn how JAX extends NumPy's familiar API with key features like immutability, pure functions, automatic differentiation for gradient-based optimization, and just-in-time (JIT) compilation for significant speedups on accelerators like GPUs and TPUs.

JAX

Python

5 lessons

21 practices

Less than 3 hours

Course details

JAX Arrays: The Immutable Successor to NumPy

Creating JAX Arrays from Scratch

Basic Operations with JAX Arrays

Embracing Immutability with JAX Arrays

Mastering JAX Functional Array Updates

Benchmarking JAX JIT Compilation Performance

Next Course: Advanced JAX: Transformations for Speed & Scale

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