1.anaconda安装
在官网Free Download | Anaconda下载anaconda5.2(Python3.6),按照下一步直到安装结束。
![](https://img-blog.csdn.net/20180811104950540?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
注意:将两个选项都勾选上,将安装路径写入环境变量
![](https://img-blog.csdnimg.cn/img_convert/72c52e17901904fc7fda4b329e78a91b.png)
2.安装Tensorflow
(1) 建立一个 conda 计算环境名字叫tensorflow:
conda create -n tensorflow python=3.5
打开环境:activate tensorflow
(2)安装相应版本的tensorflow
输入:anaconda search -t conda tensorflow
这里(anaconda search -t conda 库名)可以选择自己安装的源
![](https://img-blog.csdn.net/20180811105849178?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
输入:anaconda show anaconda/tensorflow(anaconda show 对应版本)
也可以输入:anaconda show dhirschfeld/tensorflow安装另外一个源
根据最后一行提示输入:conda install --channel https://conda.anaconda.org/anaconda tensorflow
![](https://img-blog.csdn.net/20180811110200258?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
遇到以下:输入YES
![](https://img-blog.csdn.net/20180811110628489?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
至此已经安装成功,输入:conda list
![](https://img-blog.csdn.net/20180811110844797?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
现在我们开始测试
打开这个工具
![](https://img-blog.csdn.net/20180811111051992?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
进入这个界面,选择我们建立的虚拟空间(Tensorflow)
![](https://img-blog.csdn.net/20180811111210665?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
现在Jupyter工具
![](https://img-blog.csdn.net/20180811111351433?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
再次打开命令窗口
![](https://img-blog.csdn.net/20180811111834367?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
打开我们的Tensorflow,进入我们的Tensorflow数据保存的文件夹(以下截图是我的路径,个人根据情况建立)
![](https://img-blog.csdn.net/20180811112131829?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
运行我们安装的Jupyter:输入jupyter notebook
![](https://img-blog.csdn.net/2018081111230844?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
新建一个python:New->Python3
![](https://img-blog.csdn.net/20180811112359931?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
测试如下代码
![](https://img-blog.csdn.net/20180811112750185?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
点击“Run”等待测试结果如下图,表示安装成功!
![](https://img-blog.csdn.net/20180811113253788?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzNTA1MjA0/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)
现在可以开始全新的Tensorflow之旅了!!
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