£43.23

Manning Deep Learning with JAX

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Last 73 days • 73 data points (No recent data available)

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£45.47 £35.12 £37.38 £39.64 £41.89 £44.15 £46.41 09 April 2026 27 April 2026 15 May 2026 02 June 2026 20 June 2026

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10 days 4 days 12 days 24 days · current 23 days 0 6 12 18 24 £36-38 £38-40 £40-42 £42-44 £44-45 Days at Price

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Most common range: £42-44 (24 days, 32.9%)

Price range: £36 - £45

Price levels: 5 price ranges over 73 days

Description

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 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.

Key Features

New Store Stock

Product Specifications

Brand
Manning
Format
paperback
Domain
Amazon UK
Release Date
29 October 2024
Listed Since
18 June 2024

Barcode

No barcode data available

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