Job category:
Artificial Intelligence
191 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
3 hours
Badge for Coding and Data Algorithms,
Coding and Data Algorithms

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

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