Learning TensorFlow: A Guide to Building Deep Learning Systems

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Learning TensorFlow by Tom Hope, Yehezkel S. Resheff, and Itay Lieder Copyright © 2017 Tom Hope, Itay Lieder, and Yehezkel S. Resheff. All rights reserved. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students, and researchers. The book adopts a hands-on ap
Downloadfromfinelybookwww.finelybook.com Learning TensorFlow by Tom Hope, Yehezkel S. Resheff, and Itay Lieder Copyright o 20 17 Tom Hope, Itay Lieder, and Yehezkel S. Resheff 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/safari).Formoreinformationcontactour corporate/institutional sales department: 800-998-9938 or corporate oreilly. com Editor: Nicole Tache Production Editor: Shiny Kalapurakkel Copyeditor: Rachel Head Proofreader Sharon Wilkey Indexer: Judith mcconville Interior Designer: David Futato Cover Designer: Karen Montgomery a Illustrator: rebecca demarest August 2017: First Edition Downloadfromfinelybookwww.finelybook.com Revision History for the First edition 2017-08-04 First release The O Reilly logo is a registered trademark of oReilly Media, Inc. Learning TensorFlow, the cover image, and related trade dress are trademarks of OReilly media, Inc While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate. the publisher and the authors 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 978-1-491-97851-1 Downloadfromfinelybookwww.finelybook.com Preface Deep learning has emerged in the last few years as a premier technology for building intelligent systems that learn from data. Deep neural networks, originally roughly inspired by how the human brain learns, are trained with large amounts of data to solve complex tasks with unprecedented accuracy With open source frameworks making this technology widely available, it is becoming a must-know for anybody involved with big data and machine learning. TensorFlow is currently the leading open source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, natural language processing(NLP), speech recognition, and general predictive analytics This book is an end-to-end guide to Tensor Flow designed for data scientists engineers, students, and researchers. The book adopts a hands-on approach suitable for a broad technical audience allowing beginners a gentle start while diving deep into advanced topics and showing how to build production ready systems. In this book you will learn how to 1. Get up and running with TensorFlow, rapidly and painlessly 2. Use Tensor Flow to build models from the ground up 3. Train and understand popular deep learning models for computer Ⅴ ision and nlp 4. Use extensive abstraction libraries to make development easier and faster 5. Scale up Tensor Flow with queuing and multithreading, training on clusters, and serving output in production Downloadfromfinelybookwww.finelybook.com 6. And much more This book is written by data scientists with extensive r&D experience in both industry and academic research The authors take a hands-on approach combining practical and intuitive examples, illustrations, and insights suitable for practitioners seeking to build production- ready systems, as well as readers looking to learn to understand and build flexible and powerful models Downloadfromfinelybookwww.finelybook.com Prerequisites This book assumes some basic Python programming know-how, including basic familiarity with the scientific library NumP Machine learning concepts are touched upon and intuitively explained throughout the book. For readers who want to gain a deeper understanding,a reasonable level of knowledge in machine learning, linear algebra, calculus probabil lity, and statistics is recommended Downloadfromfinelybookwww.finelybook.com Conventions used in this book The following typographical conventions are used in this book Italic Indicates new terms. URLS. email addresses. filenames and file extensions Constant width Used for program listings, as well as within paragraphs to refer to program elements such as variable or function names, databases, data types, environment variables, statements, and keywords cons七an七 width bolo Shows commands or other text that should be typed literally by the user Constant width italic Shows text that should be replaced with user-supplied values or by values determined by context Downloadfromfinelybookwww.finelybook.com USing Code Examples Supplemental material (code examples, exercises, etc. is available for downloadathttpslgithub.com/hezi-resheFf/oreilly-learnIng-tensorflow. This book is here to help you get your job done. In general, if example cod is offered with this book you may use it in your programs and documentation. You do not need to contact us for permission unless you're reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission Selling or distributing a cd-rom of examples from o Reilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your products documentation does require permission We appreciate, but do not require attribution an attribution usually includes the title, author, publisher, and isBn. For example: Learning TensorFlow by Tom Hope, Yehezkel s. Resheff, and Itay Lieder(oReilly). Copyright 2017 Tom Hope, Itay lieder and yehezkel s. Resheff, 978-1-491-97851-1 If you feel your use of code examples falls outside fair use or the permission givenabove,feelfreetocontactusatpermissions@oreilly.com Downloadfromfinelybookwww.finelybook.com OReilly safari NOTE Safari (formerly Safari Books Online) is a membership-based training and reference platform for enterprise, government, educators, and individuals Members have access to thousands of books, training videos, learning paths interactive tutorials, and curated playlists from over 250 publishers, including OReilly Media, Harvard Business review Prentice hall Professional Addison-Wesley Professional, Microsoft Press, Sams, Que, Peachpit Press, Adobe, Focal Press, Cisco Press, John Wiley sons, Syngress, Morgan Kaufmann, IBM Redbooks, Packt, Adobe Press, FT Press, Apress, Manning, New Riders, McGraw-Hill, Jones bartlett, and Course Technology, among others Formoreinformationpleasevisithttporeillycom/safari 【实例截图】
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