Efficient Deep Learning (First Early Release)_Gaurav Menghani & Naresh Singh.pdf

Efficient Deep Learning Training and Deploying Models that are Smaller, Faster, and Better With Early Release ebooks, you get books in their earliest form—the author’s raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles. Gaurav Menghani and Naresh Singh Efficient Deep Learning by Gaurav Menghani and Naresh Singh Copyright © 2022 Guarav Menghani and Naresh Singh. 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 [email protected]. Acquisitions Editor: Rebecca Novack Editor: Melissa Potter Production Editor: Beth Kelly Copyeditor: TO COME Proofreader: TO COME Indexer: TO COME Interior Designer: David Futato Cover Designer: TO COME Illustrator: Kate Dullea Month Year: First Edition Revision History for the Early Release 2021-12-08: First Release See http://oreilly.com/catalog/errata.csp?isbn=9781098117412 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Efficient Deep Learning, 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 oth