PRACTICAL DEEP LEARNING. Copyright © 2021 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: 978-1-7185-0074-7 (print)

ISBN-13: 978-1-7185-0075-4 (ebook)

Publisher: William Pollock

Executive Editor: Barbara Yien

Production Editor: Dapinder Dosanjh

Developmental Editor: Alex Freed

Cover Illustration: Gina Redman

Interior Design: Octopod Studios

Technical Reviewer: Paul Nord

Copyeditor: Chris Cartwright

Proofreader: Sharon Wilkey

The following images are reproduced with permission. Figure 4-2: the middle image is licensed under the Creative Commons Attribution 2.0 Generic license (https://commons.wikimedia.org/wiki/File:Border_Collie_liver_portrait.jpg) and the right image is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license (https://commons.wikimedia.org/wiki/File:Lynn-red_merle_Aussie_12_Months.jpg)

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245 8th Street, San Francisco, CA 94103

phone: 415.863.9900; fax: 415.863.9950; [email protected]; www.nostarch.com

Library of Congress Cataloging-in-Publication Data

Names: Kneusel, Ronald T., author.
Title: Practical deep learning : a python-based introduction / Ronald T. Kneusel.
Description: First edition. | San Francisco, CA : No Starch Press, Inc.,
   [2021] | Includes index.
Identifiers: LCCN 2020035097 (print) | LCCN 2020035098 (ebook) | ISBN
   9781718500747 (paperback) | ISBN 9781718500754 (ebook)
Subjects: LCSH: Machine learning. | Python (Computer program language)
Classification: LCC Q325.5 .K55 2021 (print) | LCC Q325.5 (ebook) | DDC 006.3/1–dc23
LC record available at https://lccn.loc.gov/2020035097
LC ebook record available at https://lccn.loc.gov/2020035098

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