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1、TensorFlow指南2016年1月28日2目录第一章起步111.1Introduction
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3、简介....................................121.2DownloadandSetup
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5、下载与安装..........................141.2.1Requirements｜安装需求...........................141.2.2Overview
6、安装总述...............................141.2.3PipInstallatioin
7、Pip安装............
8、................151.2.4Virtualenvinstallation
9、基于Virtualenv安装................161.2.5DockerInstallation................................181.2.6TesttheTensorFlowinstallation
10、测试TensorFlow安装..........191.2.7Installingfromsource..............................191.2.8TrainyourfirstTensorFlowneu
11、ralnetmodel
12、训练第一个TensorFlow模型.........................................231.2.9CommonProblems
13、常见问题.........................231.3BasicUsage
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15、使用基础.................................261.3.1Overview
16、总览..................................261.3.2Thecomputationgraph
17、计算图........................271
18、.3.3InteractiveUsage
19、交互式使用.........................291.3.4Tensors
20、张量...................................301.3.5Variables
21、变量..................................301.3.6Fetches
22、取回...................................311.3.7Feeds
23、供给....................................32第二章基础教程332.1MNIST机器学习入门
24、..................................372.1.1TheMNISTData
25、MNIST数据集.......................382.1.2Softmax回归介绍................................402.1.3实现回归模型...................................432.1.4训练模型......................................462.1.5EvaluatingOurModel
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27、评估我们的模型..................
28、.482.2DeepMNISTforExperts
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30、深入MNIST........................5034目录2.2.1Setup
31、安装....................................502.2.2BuildaSoftmaxRegressionModel
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33、构建Softmax回归模型.......522.2.3TraintheModel
34、训练模型...........................542.2.4BuildaMultilayerConvolutionalNetwork
35、构建多层卷积网络模型...552.3
36、TensorFlowMechanics101...............................602.3.1教程使用的文件.................................602.3.2准备数据......................................602.3.3构建图表（BuildtheGraph）.........................612.3.4训练模型......................................642.3.5评估模型........................
37、............
