How to use a key docker depth learning environment to configure and run the program

You must first install docker

Official documents cited here: https://docs.docker.com/install/linux/docker-ce/ubuntu/

 sudo apt-get remove docker docker-engine docker.io containerd runc

sudo apt-get update

sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \ gnupg-agent \ software-properties-common

 curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

sudo apt-key fingerprint 0EBFCD88
    
pub   rsa4096 2017-02-22 [SCEA]
      9DC8 5822 9FC7 DD38 854A  E2D8 8D81 803C 0EBF CD88
uid           [ unknown] Docker Release (CE deb) <[email protected]> sub rsa4096 2017-02-22 [S]

sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \ $(lsb_release -cs) \ stable"

sudo apt-get update

 sudo apt-get install docker-ce docker-ce-cli containerd.io

sudo docker run hello-world

Then go dockerhub pull a deep learning Docker
 sudo Docker pull tensorflow / tensorflow: Latest-GPU-Py3

进入docker中的bash，并安装自己需要的包
sudo docker run -t -i tensorflow / tensorflow: latest-gpu- py3 / bin / bash 

save docker mirror installed after the 
first use docker ps find the current image 
stored in the current snapshot using a docker commit 
docker commit -p 2ee1554a50de ubuntu-backup ( ubuntu-backup name easily compile 

now on setting up the environment, how to run the program it 
sudo Docker rUN -p 5000: Host 5000 -it --ipc = -v / Home / Bing / WorkSpace / DeepPink ++: / Workspace   tensorflow / tensorflow: Latest-GPU-Py3 / bin / bash 

red represents this directory on the workspace directory under docker