This article describes based ubuntu16 Python3 tensorflow (TensorFlow environment to build), Xiao Bian feel very good, now for everyone to share, but also to be a reference. Come and see, to follow the small series together
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Study guide with the project:
Our goal is to use the existing Google the most popular open-source framework TensorFlow, to build a children's student helper. Similar to the now existing in the class of goods sold millet intelligent voice box of stuff.
First, install Windows virtual machine under VMware Workstation, is installed in a virtual machine Ubuntu (To make good use of search engines, simple to solve various problems)
Here to provide a VMware Workstation Download: //www.jb51.net/softs/19141.html
Ubuntu official website: https: //www.ubuntu.com/index_kylin
Installation: 
two, mounted in Ubuntu python3
Into the system, right-click the desktop, click open Terminal
enter the command line mode. Enter python, found that the system comes with python2.7. We want to install python3
exit python (with exit ()), enter sudo apt-get install python3, installation python3. Has been pre-installed, the installation is displayed below are python3.5 content, successful installation. 
Third, the installation TensorFlow
有很多种安装方法，可以自行搜索。tensorflow有CPU和GPU两个版本, 后者支持使用GPU能力来做数据运算, 对GPU的型号有一定限制, 还要安装一堆东西, 对于新手,没必要装(官方推荐先装CPU的).
用下面命令安装pip和virtualenv
sudo apt-get install python-pip python-dev python-virtualenv
sudo apt-get install python3-pip python3-dev python3-virtualenv
创建一个virtualenv环境
virtualenv --system-site-packages targetDirectory
注意:这里的”targetDirectory”定义了virtualenv的根目录,这里推荐使用 ~/tensorflow,所以这里的输入是:
virtualenv --system-site-packages ~/tensorflow,
激活刚才创建的virtualenv环境
一般情况下(如果你用的是ubuntu自带的终端或者用的不是csh)输入:source ~/tensorflow/bin/activate12
如果你用的终端是csh,请输入:source ~/tensorflow/bin/activate.csh12
输入命令后,你的命令行前面会出现”(tensorflow)”,如果成功的话.
- 现在,在这个已经被激活了的tensorflow环境下,使用下面语句安装tensorflow的cpu版
(tensorflow)$ pip install --upgrade tensorflow # 如果你用 Python 2.7(tensorflow)$ pip3 install --upgrade tensorflow # 如果你用Python3.n
安装成功！
五、测试：
1、打开终端输入cd tensorflow
2、source bin/activate
3、python
4、输入python后输入以下示例
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print(sess.run(a+b))
42
>>>
5、测试成功接下来首先退出python 按快捷键Ctrl+D
6, and then exit at the command tensorflow enter the command line: deactivate
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