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

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

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