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Programming PyTorch for Deep Learning (2020) – Pointer – PDF

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INSTANT PDF DOWNLOAD — Programming PyTorch for Deep Learning (2020) by Ian Pointer is the ultimate guide to creating and deploying powerful deep learning applications. Covering essential PyTorch techniques, this eBook equips students, researchers, and professionals with practical skills for neural networks, model training, and real-world deployment. Perfect for AI learners seeking hands-on experience.

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Programming
PyTorch for
Deep Learning
Creating and Deploying Deep Learning
Applications




Ian Pointer

,
, Programming PyTorch for
Deep Learning
Creating and Deploying
Deep Learning Applications




Ian Pointer




Beijing Boston Farnham Sebastopol Tokyo

, Programming PyTorch for Deep Learning
by Ian Pointer
Copyright © 2019 Ian Pointer. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are
also available for most titles (http://oreilly.com). For more information, contact our corporate/institutional
sales department: 800-998-9938 or .

Development Editor: Melissa Potter Indexer: WordCo Indexing Services, Inc.
Acquisitions Editor: Jonathan Hassell Interior Designer: David Futato
Production Editor: Katherine Tozer Cover Designer: Susan Thompson
Copyeditor: Sharon Wilkey Illustrator: Rebecca Demarest
Proofreader: Christina Edwards

September 2019: First Edition

Revision History for the First Edition
2019-09-20: First Release

See http://oreilly.com/catalog/errata.csp?isbn=9781492045359 for release details.

The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Programming PyTorch for Deep Learn‐
ing, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc.
The views expressed in this work are those of the author, and do not represent the publisher’s views.
While the publisher and the author have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the author disclaim all responsibility
for errors or omissions, including without limitation responsibility for damages resulting from the use of
or reliance on this work. Use of the information and instructions contained in this work is at your own
risk. If any code samples or other technology this work contains or describes is subject to open source
licenses or the intellectual property rights of others, it is your responsibility to ensure that your use
thereof complies with such licenses and/or rights.




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