The Steps to prepare the Remote Device and necessary packages for Deep Learning

The local Install

step 1 select a remote server in AWS

Add 50 GB HDD

The next is to login your remote computer

do some works for your remote server

1. sudo apt update
   
2. sudo apt install build-essential
   
3. install python3.8
   

install miniconda into your server

Choose the right version for your computer

download it to your server

1. wget miniconda address
   
2. bash Miniconda3-latest-linux-x86_64.sh
   
   
   
   
   
   

Start your miniconda env

1. use bash command to enter the base environment of miniconda
   
2. pip install jupyter d2l torch torchvision
   
3. download the material for the deep learning courses
   
4. To unzip this file, we need firstly install zip
   sudo apt install zip and unzip the corresponding file
   

Start use your jupyter notebook

jupyter notebook

There is a problem that our jupyter in our remote server. We cannot open it in our local broswer. Therefore, we need to map the remote port 8888 into our local ones.
Notice The following command needs to be input in your local computer

The following command can make your jupyter notebook play the slides