TensorFlow在windows上只支持python3.5+
1、安装python，这里安装python3.7.0
2、安装Anaconda（和安装的python版本一致）
下载地址：https://www.anaconda.com/distribution/
安装完成后，检测anaconda环境是否安装成功：conda --version
3、安装TensorFlow
安装Tensorflow时，需要从Anaconda仓库中下载，一般默认链接的都是国外镜像地址，下载很慢，这里改用国内清华镜像，我们打开安装好的Anaconda中的 Anaconda Prompt
然后输入如下命令：
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes
安装Tensorflow，在Anaconda Prompt中输入：
conda create -n tensorflow python=3.7.0
tensorflow安装成功，激活一下，紧接着输入：
conda activate tensorflow
tensorflow有两个版本，这里我们要安装的是CPU版本，那么在命令下紧接着输入：
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflow==1.14.0
至此安装完成，下面进行测试：
在Anaconda Prompt窗口中输入： python
进入python后输入：
import tensorflow as tf
sess = tf.Session()
a = tf.constant(10)
b= tf.constant(12)
sess.run(a+b)
tensorflow使用时cpu编译不支持问题解决，在代码中加入如下代码，忽略警告：
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
或者换成支持cpu用AVX2编译的Tensorflow版本（github上下载源码）
4、开发工具pycharm
下载地址：https://www.jetbrains.com/pycharm/download/#section=windows
专业版破解：
下载破解包：JetbrainsIdesCrack-4.2-release-enc.jar，放入PyCharm 2018.3.6\bin目录下
修改\bin目录下文件：pycharm.exe.vmoptions 和 pycharm64.exe.vmoptions
最后一行添加：-javaagent:D:\ProgramFiles\PyCharm 2018.3.6\bin\JetbrainsIdesCrack-4.2-release-enc.jar
启动Pycharm ,选择激活码激活，输入如下内容激活；
ThisCrackLicenseId-{
"licenseId":"11011",
"licenseeName":"WeChat",
"assigneeName":"IT--Pig",
"assigneeEmail":"1113449881@qq.com",
"licenseRestriction":"",
"checkConcurrentUse":false,
"products":[
{"code":"II","paidUpTo":"2099-12-31"},
{"code":"DM","paidUpTo":"2099-12-31"},
{"code":"AC","paidUpTo":"2099-12-31"},
{"code":"RS0","paidUpTo":"2099-12-31"},
{"code":"WS","paidUpTo":"2099-12-31"},
{"code":"DPN","paidUpTo":"2099-12-31"},
{"code":"RC","paidUpTo":"2099-12-31"},
{"code":"PS","paidUpTo":"2099-12-31"},
{"code":"DC","paidUpTo":"2099-12-31"},
{"code":"RM","paidUpTo":"2099-12-31"},
{"code":"CL","paidUpTo":"2099-12-31"},
{"code":"PC","paidUpTo":"2099-12-31"}
],
"hash":"2911276/0",
"gracePeriodDays":7,
"autoProlongated":false}
