Advanced JAX: Transformations for Speed & Scale

Machine Learning

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

See path

5 lessons

21 practices

3 hours

Coding and Data Algorithms

Course details

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

Preview

Creating Your First Random Samples

Fixing Key Reuse for Independent Randomness

Verifying JAX's Reproducibility Promise

Multi Distribution Key Management Strategy

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Next Course: JAX in Action: Neural Networks from Scratch

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11