Google JAX Cookbook: Perform machine learning and numerical computing with combined capabilities of TensorFlow and NumPy
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This is the practical, solution-oriented book for every data scientists, machine learning engineers, and AI engineers to utilize the most of Google JAX for efficient and advanced machine learning. It covers essential tasks, troubleshooting scenarios, and optimization techniques to address common challenges encountered while working with JAX across machine learning and numerical computing projects.
The book starts with the move from NumPy to JAX. It introduces the best ways to speed up comput...























