1,TensorFlow只支持64位平台

2,下载python 3.5.X (必须是64位的),地址如下:

https://www.python.org/ftp/python/3.5.2/python-3.5.2-amd64.exehttps://www.python.org/ftp/python/3.5.2/python-3.5.2-embed-amd64.zip

3,安装python,并验证python和pip

C:\Users\Administrator>python -VPython 3.5.2C:\Users\Administrator>pip3 -Vpip3 8.1.1 from d:\program files\python35\lib\site-packages (python 3.5)

4,安装TensorFlow(only cpu)

pip3 install --upgrade tensorflow

5,TensorFlow的hello world

C:\Users\Administrator>pythonPython 3.5.2 (v3.5.2:4def2a2901a5, Jun 25 2016, 22:18:55) [MSC v.1900 64 bit (AMD64)] on win32Type "help", "copyright", "credits" or "license" for more information.>>> import tensorflow as tf>>> hello = tf.constant('Hello tensorflow1')>>> session = tf.Session()>>> print(session.run(hello))b'Hello tensorflow1'看到输出b'Hello tensorflow1'即证明TensorFlow环境安装完成.

6,如果你是java开发的话,可能想尝试下java API,结果很让人失望,太慢了,世界末日了,代码如下,自己去享受一把:

public String tf() throws Exception{    final String value = "Hello tensorflow version :  "  + TensorFlow.version();    System.out.println(value);    //将数据转为tensor    Tensor tensor = Tensor.create(value.getBytes("UTF-8"));    //构造一个图对象    Graph graph = new Graph();    graph.opBuilder("Const","myConst").setAttr("dtype",tensor.dataType())            .setAttr("value",tensor).build();    //创建一个Session    Session session = new Session(graph);    graph.close();    //计算输出结果    Tensor result = session.runner().fetch("myConst").run().get(0);    System.out.println(result);    return new String(result.bytesValue(),"UTF-8");}