首页TensorFlow for Deep Learning（Orelly,2018预览版本，全彩）
TensorFlow for Deep Learning（Orelly,2018预览版本，全彩）
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TensorFlow for Deep Learning - Bharath Ramsundar, Reza Bosagh .pdf 全彩完整文字版本，2018年3月第一次预览版本。 TensorFlow for Deep Learning-from liner regression to reinforcement learning
TensorFlow for Deep Learning
From Linear Regression to Reinforcement Learning
Bharath Ramsundar and Reza Bosagh Zadeh
TensorFlow for Deep Learning
by Bharath Ramsundar and Reza Bosagh Zadeh
Copyright © 2018 Reza Zadeh, Bharath Ramsundar. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
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March 2018: First Edition
Revision History for the First Edition
2018-03-01: First Release
See http://oreilly.com/catalog/errata.csp?isbn=9781491980453 for release details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. TensorFlow for Deep
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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
This book will introduce you to the fundamentals of machine learning through TensorFlow.
TensorFlow is Google’s new software library for deep learning that makes it straightforward for
engineers to design and deploy sophisticated deep learning architectures. You will learn how to
use TensorFlow to build systems capable of detecting objects in images, understanding human
text, and predicting the properties of potential medicines. Furthermore, you will gain an intuitive
understanding of TensorFlow’s potential as a system for performing tensor calculus and will
learn how to use TensorFlow for tasks outside the traditional purview of machine learning.
Importantly, TensorFlow for Deep Learning is one of the first deep learning books written for
practitioners. It teaches fundamental concepts through practical examples and builds
understanding of machine learning foundations from the ground up. The target audience for this
book is practicing developers, who are comfortable with designing software systems, but not
necessarily with creating learning systems. At times we use some basic linear algebra and
calculus, but we will review all necessary fundamentals. We also anticipate that our book will
prove useful for scientists and other professionals who are comfortable with scripting, but not
necessarily with designing learning algorithms.
Conventions Used in This Book
The following typographical conventions are used in this book:
Indicates new terms, URLs, email addresses, filenames, and file extensions.
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
Constant width bold
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Shows text that should be replaced with user-supplied values or by values determined by
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