Description: Deep Learning with JAX by Grigory Sapunov Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Accelerate deep learning and other number-intensive tasks with JAX, Googles awesome high-performance numerical computing library. Publisher Description Accelerate deep learning and other number-intensive tasks with JAX, Googles awesome high-performance numerical computing library.In Deep Learning with JAX you will learn how to: Use JAX for numerical calculationsBuild differentiable models with JAX primitivesRun distributed and parallelized computations with JAXUse high-level neural network libraries such as Flax and HaikuLeverage 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 Googles 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 JAXs concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. Youll learn how to use JAXs ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. Author Biography 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. Details ISBN 1633438880 ISBN-13 9781633438880 Title Deep Learning with JAX Author Grigory Sapunov Format Hardcover Year 2024 Pages 408 Publisher Manning Publications GE_Item_ID:168410049; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 67.42 USD
Location: Fairfield, Ohio
End Time: 2024-11-30T19:12:35.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781633438880
Book Title: Deep Learning with JAX
Number of Pages: 408 Pages
Language: English
Publication Name: Deep Learning with Jax
Publisher: Manning Publications Co. LLC
Subject: Neural Networks, Programming Languages / Python
Publication Year: 2024
Item Height: 0.9 in
Item Weight: 24.1 Oz
Type: Textbook
Author: Grigory Sapunov
Subject Area: Computers
Item Length: 9.2 in
Item Width: 7.4 in
Format: Trade Paperback / Trade Paperback