Ubuntu16+python3.6.9环境下安装tensorflow+keras

1.更换国内源

如果是新装的虚拟机或者双系统建议先执行以下命令防止更换源后更新报错

sudo apt-get install libappstream4

备份源文件并打开

sudo cp /etc/apt/sources.list /etc/apt/sources_init.list  
sudo gedit /etc/apt/sources.list # 打开文件

使用gedit打开文档后，将下边的源复制进去，然后点击保存关闭。（此处为阿里源）

deb http://mirrors.aliyun.com/ubuntu/ trusty main restricted universe multiverse  
deb http://mirrors.aliyun.com/ubuntu/ trusty-security main restricted universe multiverse  
deb http://mirrors.aliyun.com/ubuntu/ trusty-updates main restricted universe multiverse  
deb http://mirrors.aliyun.com/ubuntu/ trusty-proposed main restricted universe multiverse  
deb http://mirrors.aliyun.com/ubuntu/ trusty-backports main restricted universe multiverse  
deb-src http://mirrors.aliyun.com/ubuntu/ trusty main restricted universe multiverse  
deb-src http://mirrors.aliyun.com/ubuntu/ trusty-security main restricted universe multiverse  
deb-src http://mirrors.aliyun.com/ubuntu/ trusty-updates main restricted universe multiverse  
deb-src http://mirrors.aliyun.com/ubuntu/ trusty-proposed main restricted universe multiverse  
deb-src http://mirrors.aliyun.com/ubuntu/ trusty-backports main restricted universe multiverse

更新源与软件

sudo apt-get update
sudo apt-get upgrade

2.安装python必备环境

此处针对python3.6.9 若为python2.7请自行修改对应指令

sudo apt-get install python3-dev python3-pip python3-nose gcc g++ libopenblas-dev git

3.pip安装tensorflow及keras（采用阿里源）

先安装tensorflow所需环境（注意此处numpy需要与tensorflow版本对应本文numpy==1.16.0 tensorflow==1.14.0 详见https://blog.csdn.net/xinjieyuan/article/details/103738396）

numpy与tensorflow对应版本

sudo pip3 install -i http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com  numpy==1.16.0
sudo pip3 install -i http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com  scipy matplotlib scikit-learn spyder h5py pandas

再安装tensorflow与keras

sudo pip3 install -i http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com  tensorflow==1.14.0
sudo pip3 install -i http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com  keras

安装结束后，再python3内调用无报错即安装成功

import tensorflow
import keras