TensorFlow入门：Ubuntu 16.04安装TensorFlow（Anaconda，非GPU）

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　　1.已经在Ubuntu下安装好了Anaconda。
　　2.创建TensorFlow环境，Python2.7



Conda create -n tensorflow python=2.7
　　此时会conda下载安装python2.7的环境



The following NEW packages will be INSTALLED:
certifi:    2016.2.28-py27_0
openssl:    1.0.2l-0        
pip:        9.0.1-py27_1   
python:     2.7.13-0        
readline:   6.2-2           
setuptools: 36.4.0-py27_0   
sqlite:     3.13.0-0        
tk:         8.5.18-0        
wheel:      0.29.0-py27_0   
zlib:       1.2.11-0        
Proceed ([y]/n)? y
Fetching packages ...
openssl-1.0.2l 100% |################################| Time: 0:00:01   1.77 MB/s
zlib-1.2.11-0. 100% |################################| Time: 0:00:00 191.63 kB/s
python-2.7.13- 100% |################################| Time: 0:00:05   2.31 MB/s
certifi-2016.2 100% |################################| Time: 0:00:00 315.92 kB/s
wheel-0.29.0-p 100% |################################| Time: 0:00:00 174.28 kB/s
setuptools-36. 100% |################################| Time: 0:00:01 529.64 kB/s
pip-9.0.1-py27 100% |################################| Time: 0:00:02 655.58 kB/s
Extracting packages ...
[      COMPLETE      ]|###################################################| 100%
Linking packages ...
[      COMPLETE      ]|###################################################| 100%
#
# To activate this environment, use:
# > source activate tensorflow
# To deactivate this environment, use:
# > source deactivate tensorflow
#


　　此时在Anaconda的env文件夹下会安装好TensorFlow文件夹及环境软件。
　　3.按需要激活tensorflow环境，并在此环境下安装tensorflow：



wangjc@wangjc-Inspiron-3668:~$ source activate tensorflow
(tensorflow) wangjc@wangjc-Inspiron-3668:~$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0rc0-cp27-none-linux_x86_64.whl
　　如果是Python3.5，则如下代码安装：



pip install --ignore-installed --upgrade https://mirrors.tuna.tsinghua.edu.cn/tensorflow/linux/cpu/tensorflow-0.12.0-cp35-cp35m-linux_x86_64.whl
　　安装成功：



Installing collected packages: numpy, six, wheel, setuptools, protobuf, tensorflow
Successfully installed numpy-1.13.1 protobuf-3.0.0b2 setuptools-36.4.0 six-1.10.0 tensorflow-0.8.0rc0 wheel-0.29.0
(tensorflow) wangjc@wangjc-Inspiron-3668:~$
　　4.尝试加载tensorflow：需要先激活tensorflow环境



wangjc@wangjc-Inspiron-3668:~$ source activate tensorflow
(tensorflow) wangjc@wangjc-Inspiron-3668:~$ python
Python 2.7.13 |Continuum Analytics, Inc.| (default, Dec 20 2016, 23:09:15)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
>>> import tensorflow
>>>
　　加载成功！
　　5.为了使用spyder，需要在tensorflow环境下安装spyder：



(tensorflow) wangjc@wangjc-Inspiron-3668:~$ conda install -n tensorflow spyder
Fetching package metadata .......
Solving package specifications: ..........
Package plan for installation in environment /home/wangjc/anaconda3/envs/tensorflow:
The following packages will be downloaded:
　　安装成功之后在tensorflow环境下运行spyder即可：
　　如果不在tensorflow环境下安装spyder，直接运行spyder时打开的可能不是tensorflow对应的python内核。



wangjc@wangjc-Inspiron-3668:~$ source activate tensorflow
(tensorflow) wangjc@wangjc-Inspiron-3668:~$ spyder
　　各种TensorFlow版本地址镜像
　　参考网址