Stop Worrying and Create your Deep Learning Server in 30 minutes

I have found myself creating a Deep Learning Machine time and time again whenever I start a new project.

You start with installing Anaconda and end up creating different environments for Pytorch and Tensorflow, so they don’t interfere. And in the middle of it, you inevitably end up messing up and starting from scratch. And this often happens multiple times.

It is not just a massive waste of time; it is also mighty(trying to avoid profanity here) irritating. Going through all those Stack Overflow threads. Often wondering what has gone wrong.

So is there a way to do this more efficiently?

It turns out there is. In this blog, I will try to set up a deep learning server on EC2 with minimal effort so that I could focus on more important things.

This blog consists explicitly of two parts:

1. Setting up an Amazon EC2 Machine with preinstalled deep learning libraries.

2. Setting Up Jupyter Notebook using TMUX and SSH tunneling.

Don’t worry; it’s not as difficult as it sounds. Just follow the steps and clic…