Free Download Deep Learning with JAX (MEAP V10)
English | 2024 | ISBN: 9781633438880 | 650 Pages | PDF EPUB | 45 MB
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.
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