Introduction: begin to learn Machine Learning, and find Google’s open source technology: TensorFlow.

1、It seems TF only support Linux by official , but I try to install also on Win 10, so try :： http://wiki.jikexueyuan.com/project/tensorflow-zh/：
though some guy reported successed on win, but I failed as can not download the big file no matter with USA IP, anyway , I record the method.

捣鼓好了windows docker安装，参考了楼上的许多信息。
1. 安装docker
2. 点开Docker Quickstart Terminal， 打开成功后：
    docker is configured to use the default machine with IP 192.168.99.100
3. 安装tensorflow： docker run -d -p 8888:8888 -v /notebook:/notebook xblaster/tensorflow-jupyter
4. 运行tensorflow-jupyter: docker run xblaster/tensorflow-jupyter
     会提示running at: http://0.0.0.0:8888，不知道为什么会是这个IP地址，用浏览器打开不了。然后替换成docker打开时的IP，http://192.168.99.100:8888就可以打开了。
5. 运行example code，mnist参考资料：1, tensorflow官方文档；2，http://blog.csdn.net/yhl_leo/article/details/50614444 及其mnist的github：https://github.com/yhlleo/mnist，github中有input_data.py这个很重要的文件。

2、 I run it on Ubuntu and test an easy exmaple which is :

y =0.1*x +0.3

and after 200 times of calculating , get result :

from the result : after 40 times calculating , the result closes to 0.1*x + 0.3 already , no matter how AlphaGo is so strong.