{"product_id":"9781633438880-deep-learning-wjax","title":"Deep Learning with JAX","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003e\u003cp\u003e\u003cstrong\u003eAccelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eAccelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library.\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eIn \u003cem\u003eDeep Learning with JAX\u003c\/em\u003e you will learn how to:\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eUse JAX for numerical calculations\u003c\/li\u003e\n\u003cli\u003eBuild differentiable models with JAX primitives\u003c\/li\u003e\n\u003cli\u003eRun distributed and parallelized computations with JAX\u003c\/li\u003e\n\u003cli\u003eUse high-level neural network libraries such as Flax and Haiku\u003c\/li\u003e\n\u003cli\u003eLeverage libraries and modules from the JAX ecosystem\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cbr\u003eThe 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.\u003cbr\u003e\u003cbr\u003e\u003cem\u003eDeep Learning with JAX\u003c\/em\u003e 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.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":55178144809334,"sku":"9781633438880","price":45.15,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_38956656_4ff5b918-5694-4e57-940b-538880abc54d.jpg?v=1765398863","url":"https:\/\/www.rarewaves.com\/products\/9781633438880-deep-learning-wjax","provider":"Rarewaves.com","version":"1.0","type":"link"}