Deep Learning_ A Visual Approach_Andrew Glassner.pdf

FULL COLOR ANDREW GLASSNER DEEP LEARNING A VISUAL APPROACH DEEP LEARNING San Francisco DEEP LEARNING A Visual Approach Andrew Glassner DEEP LEARNING: A VISUAL APPROACH. Copyright © 2021 by Andrew Glassner.   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: 978-1-7185-0072-3 (print) ISBN-13: 978-1-7185-0073-0 (ebook) Publisher: William Pollock Executive Editor: Barbara Yien Production Editors: Maureen Forys and Rachel Monaghan Developmental Editor: Alex Freed Cover and Interior Design: Octopod Studios Cover Illustrator: Gina Redman Technical Reviewers: George Hosu and Ron Kneusel Copyeditor: Rebecca Rider Compositor: Maureen Forys, Happenstance Type-O-Rama Proofreader: James Fraleigh With the exception of the images noted at the end of the book in the Image Credits, all the images in this book are produced by the author. All original images may be freely downloaded from https://github.com/ blueberrymusic and used as the reader pleases. 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: 1-415-863-9900; [email protected] www.nostarch.com Library of Congress Cataloging-in-Publication Data Names: Glassner, Andrew S., author. Title: Deep learning : a visual approach / Andrew Glassner. Description: San Francisco, CA : No Starch Press, Inc., [2021] | Includes bibliographical references and index. Identifiers: LCCN 2020047326 (print) | LCCN 2020047327 (ebook) | ISBN 9781718500723 (paperback) | ISBN 9781718500730 (ebook) Subjects: LCSH: Machine learning. | Neural networks. Classification: LCC Q325.5 .G58 2021 (print) | LCC Q325.5 (ebook) | DDC 006.3/1--dc23 LC r