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在人类大脑的大致启发下,经过大量数据训练的深层神经网络可以以前所未有的精度解决复杂的任务。本实用书提供了TensorFlow的端到端指南,TensorFlow是领先的开源软件库,可帮助您构建和训练神经网络,用于计算机视觉、自然语言处理(NLP)、语音识别和一般预测分析。 作者Tom Hope、Yehezkel Resheff和Itay Lider为从数据科学家和工程师到学生和研究人员的广大技术受众提供了一种实践性的TensorFlow基础方法。在深入讨论诸如神经网络架构、TensorBoard可视化、TensorFlow抽象库和多线程输入管道等主题之前,您将首先学习TensorFlow中的一些基本示例。完成本书后,您将知道如何在TensorFlow中构建和部署生产就绪的深度学习系统。
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978-1-491-97851-1
[LSI]
Learning TensorFlow
by Tom Hope, Yehezkel S. Resheff, and Itay Lieder
Copyright © 2017 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.
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August 2017: First Edition
Revision History for the First Edition
2017-08-04: First Release
2017-09-15: Second Release
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Table of Contents
Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
1.
Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Going Deep 1
Using TensorFlow for AI Systems 2
TensorFlow: What’s in a Name? 5
A High-Level Overview 6
Summary 8
2.
Go with the Flow: Up and Running with TensorFlow. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Installing TensorFlow 9
Hello World 11
MNIST 13
Softmax Regression 14
Summary 21
3.
Understanding TensorFlow Basics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Computation Graphs 23
What Is a Computation Graph? 23
The Benefits of Graph Computations 24
Graphs, Sessions, and Fetches 24
Creating a Graph 25
Creating a Session and Running It 26
Constructing and Managing Our Graph 27
Fetches 29
Flowing Tensors 30
Nodes Are Operations, Edges Are Tensor Objects 30
Data Types 32
iii
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