搭建环境

毕业设计

安装jdk
2. oracle java jdk ppa source
sudo add-apt-repository ppa:webupd8team/java
sudo apt-get update

JDK6 ：
sudo apt-get install oracle-java6-installer

JDK 7：
sudo apt-get install oracle-java7-installer

JDK 8:
sudo apt-get install oracle-java8-installer

切换 python
sudo update-alternatives --install /usr/bin/python python /usr/bin/python2 100
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3 150

一 下载anaconda

内置python，内置很多库，很方便
进入官网，下载，注意版本号对应，python3.5对应的名称为
Anaconda3-2.4.1-Windows-x86_64.exe

二 安装pycharm

官网下载专业版

2017注册码
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配置pycharm：
为了使用anaconda的python，需要改一下项目配置：
File--Setting--Project--Project Interpreter 修改成anaconda路径：

三 安装tensorflow

pip install tensorflow-gpu
如果安装不上，可以尝试更新一下pip，gpu版本需要安装cuda的支持
安装完导入测试一下
import tensorflow as tf
sess = tf.Session()
a = tf.constant(10)
b = tf.constant(22)
print(sess.run(a + b))
若不出问题，即可

四 安装kears

pip install kears
默认调用后端为tensorflow

linux 安装 anaconda

wget https://repo.continuum.io/archive/Anaconda3-2.4.1-Linux-x86_64.sh
bash Anaconda3-2.4.1-Linux-x86_64.sh
source ~/.bashrc

conda create -n tensorflow python=3.5
source activate tensorflow
conda install -c conda-forge tensorflow

#!/bin/sh
passwd ubuntu<<EOF
ubuntu
ubuntu
EOF
sed -i 's/PasswordAuthentication no/PasswordAuthentication yes/g' /etc/ssh/sshd_config
service ssh restart

sudo apt-get install python-pip python-dev

pip install tensorflow

pip install keras