下载openssh-server
sudo apt-get install openssh-server
镜像修改
sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak
sudo vim /etc/apt/sources.list
把最后一段改成：
deb http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse
更新
sudo apt-get update
sudo apt-get upgrade
安装pip
sudo apt-get install python3-pip
sudo pip3 install --upgrade pip
修改pip源
sudo vim ~/.pip/pip.conf
#ali的pip.conf配置
[global]
index-url = http://mirrors.aliyun.com/pypi/simple
[install]
trusted-host = mirrors.aliyun.com
安装jupyter
sudo apt-get install jupyter
pip3 install jupyter
jupyter notebook --generate-config
jupyter notebook password
jupyter notebook --ip 0.0.0.0
安装anaconda
wget https://repo.continuum.io/archive/Anaconda3-5.1.0-Linux-x86_64.sh
bash ~/anaconda3/Anaconda3-5.1.0-Linux-x86_64.sh
source /home/keras/.bashrc
conda 修改国内源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes
jupyter远程登陆设置
jupyter notebook --generate-config
jupyter-notebook password
vim ~/.jupyter/jupyter_notebook_config.py
c.NotebookApp.ip='*'
conda 创建环境
conda create -n dl python=3.6
source activate dl
安装tensorflow
conda create --name tensorflow python=3.5 jupyter
source activate tensorflow
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.0-cp35-cp35m-linux_x86_64.whl
验证tensorflow
vim test.py
# Python
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
python test.py
安装keras
pip install keras
安装pytorch-cpu
conda install pytorch -c soumith
