Deep Learning with JAX
Sapunov, Grigory
Verkauft von Romtrade Corp., STERLING HEIGHTS, MI, USA
AbeBooks-Verkäufer seit 17. April 2013
Neu - Softcover
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenVerkauft von Romtrade Corp., STERLING HEIGHTS, MI, USA
AbeBooks-Verkäufer seit 17. April 2013
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenThis is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Bestandsnummer des Verkäufers ABNR-310386
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:
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.
Grigory Sapunov is a co-founder and CTO of Intento. He is a software engineer with more than twenty years of experience. Grigory holds a Ph.D. in artificial intelligence and is a Google Developer Expert in Machine Learning.
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