SFU course "Introduction to JAX: a framework for high-performance array computing and automatic differentiation" (Part 3) [online]
Remarque : Toutes les heures sont affichées selon le fuseau horaire dans lequel l’événement a lieu.
Date: 25 avril 2024, 10:00 - 12:00
Fuseau horaire: heure d’été du Pacifique nord-américain
Langue d'enseignement: Anglais
Register
Faster than TensorFlow and PyTorch, JAX is the new open source Google framework for high-performance array computations and differentiation. With a NumPy-like API, it uses asynchronous dispatch, just-in-time compilation, and the XLA compiler for linear algebra to run on accelerators (GPUs and TPUs).
This course will introduce the basics of JAX functioning—its strengths and its constraints.
Mots-clés: Machine Learning, AI
Activity log
