linux 配置tensorflow 全过程记录
前几天刚下一个deepin系统，是基于linux 内核的，界面的设计有些mac的feel 感觉还是挺不错的，之后就赶紧配置了一下tensorflow ，尽管之前配置过，但是这次还是遇到点儿问题，所以说记录一下全过程。
1、想要配置tensorflow 就要先配置一下python的环境，选择的是anaconda 来进行管理python环境的
首先打开anaconda 的官网，之后在官网上下载linux 的Python3版本的anaconda ，下载下来是一个.sh的文件，下面是一张图片
2、打开终端进入下载下来的anaconda3 的目录，运行 bash Anaconda3-5.3.0-Linux-x86_64.sh，之后进行安装就ok了，中间会让你选择Yes/NO，会有两次让你选择，全部都是选择yes即可，很快就会安装好的
3、之后在终端中输入conda -V当你看到conda 的版本信息就说明安装成功了，大多数情况下都是可以的，只要是你之前两次让你选择yes/no，你选择了yes，因为当中有一次是问你是否配置环境变量。如果没有，那就自己配置环境变量
echo 'export PATH="/home/lenovo/anaconda3/bin:$PATH"' >> ~/.bashrc source ~/.bashrc
4、配置好之后，下面安装pycharm，当然你也可以先安装pycharm再安装anaconda 同样可是可以的
5、再pycharm官网下载pycharm就可以了，尽量还是下载专业版的，下载完成之后，同样打开终端，cd到pycharm下载的文件夹下之后解压tar -xvzf pycharm-professional-2016.2.3.tar.gz 之后cd到bin下面，运行sh pycharm.sh
6、之后就是激活pycharm了，在终端cd 到etc下面，vi打开hosts，在下面添加 0.0.0.0 account.jetbrains.com,保存之后，在这个图中
添加
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点击ok即可
7、安装tensorflow ，尽量选择清华源或者是豆瓣源等，这些国内的源安装起来更快
清华源网址：https://mirrors.tuna.tsinghua.edu.cn/help/tensorflow/
8、创建一个新的环境之后在这个新的环境里安装tensorflow
创建一个python3.5的环境，自己也可以改，
conda create -n tensorflow python=3.5
9、激活叫tensorflow环境
source activate tensorflow
10、下载tensorflow
pip install \ -i https://pypi.tuna.tsinghua.edu.cn/simple/ \ https://mirrors.tuna.tsinghua.edu.cn/tensorflow/linux/cpu/tensorflow-1.2.1-cp35-cp35m-linux_x86_64.whl
11、下面就是打开pycharm，把tensorflow环境导入pycharm里面就大功告成了
