- Thread Starter
- #1
Post in thread 'Deep Learning with JAX (Final Release)' by TOP has been reported by ttrttr. Reason given:
Content being reported:
Content being reported:
Free Download Deep Learning with JAX
by Grigory Sapunov
English | 2024 | ISBN: 1633438880 | 410 pages | True PDF | 39.75 MB
Accelerate deep learning and other number-intensive tasks with JAX, Google's awesome high-performance numerical computing library.
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 and Haiku
Leverage libraries and modules from the JAX ecosystem
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.
Deep Learning with JAX iLS