Deep Learning with JAX (MOBI)

[voska89]

Free Download Deep Learning with JAX
English | 2024 | ISBN: 9781633438880 | 408 pages | MOBI | 0.49 Mb
Accelerate deep learning and other number-intensive tasks with JAX, Google's awesome high-performance numerical computing library.

The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google's Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations.
In Deep Learning with JAX you will learn how to
Use JAX for numerical calculations
Build differentiable models with JAX primitives
Run distributed and parallelized computations with JAX
Use high-level neural network libraries such as Flax
Leverage libraries and modules from the JAX ecosystem
Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX's concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You'll learn how to use JAX's ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment.

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live

Rapidgator
6lg40.7z.html
Fileaxa
6lg40.7z
Fikper
6lg40.7z.html


Visit Heroturko every day for the hottest new Apps, must-read Ebooks, trending Courses, and so much more!