Math for Deep Learning_ What You Need to Know to Understand Neural Networks_Ronald T. Kneusel.pdf

MATH FOR DEEP LEARNING What You Need to Know to Understand Neural Networks by Ronald T. Kneusel San Francisco MATH FOR DEEP LEARNING. Copyright © 2022 by Ronald T. Kneusel. All rights reserved. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage or retrieval system, without the prior written permission of the copyright owner and the publisher. ISBN-13: 978-1-7185-0190-4 (print) ISBN-13: 978-1-7185-0191-1 (ebook) Publisher: William Pollock Production Manager: Rachel Monaghan Production Editors: Dapinder Dosanjh and Katrina Taylor Developmental Editor: Alex Freed Cover Illustrator: James L. Barry Cover and Interior Design: Octopod Studios Technical Reviewer: David Gorodetzky Copyeditor: Carl Quesnel Proofreader: Emelie Battaglia For information on book distributors or translations, please contact No Starch Press, Inc. directly: No Starch Press, Inc. 245 8th Street, San Francisco, CA 94103 phone: 415.863.9900; fax: 415.863.9950; [email protected]; www.nostarch.com Library of Congress Control Number: 2021939724 No Starch Press and the No Starch Press logo are registered trademarks of No Starch Press, Inc. Other product and company names mentioned herein may be the trademarks of their respective owners. Rather than use a trademark symbol with every occurrence of a trademarked name, we are using the names only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The information in this book is distributed on an “As Is” basis, without warranty. While every precaution has been taken in the preparation of this work, neither the author nor No Starch Press, Inc. shall have any liability to any person or entity with respect to any loss or damage caused or alleged to be caused directly or indirectly by the information contained in it. In memory of Tom “Fitz” Fitzpatrick (1944–2013), the best