Advanced JAX: Transformations for Speed & Scale | CodeSignal Learn

Artificial Intelligence

220 learners

Advanced JAX: Transformations for Speed & Scale

Dive deeper into JAX's powerful functional transformations. This course covers explicit pseudo-random number generation for reproducibility, automatic vectorization with jax.vmap for batching, an introduction to jax.shard_map for multi-device parallelism, the concept of PyTrees for handling complex data structures, and basic profiling/debugging techniques.

JAX

Python

5 lessons

21 practices

Less than 3 hours

Course details

Reproducible Randomness with jax.random: Keys, Splitting, and Determinism

Creating Your First Random Samples

Fixing Key Reuse for Independent Randomness

Verifying JAX's Reproducibility Promise

Multi Distribution Key Management Strategy

Previous Course Next Course: JAX in Action: Neural Networks from Scratch

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