The No-Fuss Setup Guide for Secure and Private AI Challenge 2019 (Windows)

Warning: This page is still under construction but I'm publishing it so that I can easily read it online.

Part 1: Software that needs to be installed

1. git
You can segue into doing Part 2 then come back to #2, 3 or 4, if you like :)
2. [Optional] GitHubDesktop - UI for git
3. [Optional] python - you can skip this if you're going to install Anaconda
4. Anaconda - needed to install PyTorch

• Make sure you're downloading the version that matches your OS

In my case, Mac was selected by default even if my OS was Windows.
Since I didn't double check, I downloaded the Mac version by mistake.
So, I had to go back and download the Windows version :(

• pip - another way to install PyTorch if you prefer to use pip or if Anaconda is not available for some reason 

Note: according to the PyTorch site, Anaconda is the recommended package manager because it will provide you all of the PyTorch dependencies in one, sandboxed install, including Python and pip. This is the reason why I marked python as optional in #3 above.

4. PyTorch

• Make sure you run the Anaconda prompt as Administrator to avoid any problems when executing conda install pytorch-cpu torchvision-cpu -c pytorch

Part 2: Steps to be done after installing the required software

1. Clone the Deep Learning with PyTorch repo (138.73 MB as of this writing)
Using command line:

C:\Users\codefier\Documents\GitHub>git clone https://github.com/udacity/deep-learning-v2-pytorch.git
Cloning into 'deep-learning-v2-pytorch'...
remote: Enumerating objects: 1078, done.
remote: Total 1078 (delta 0), reused 0 (delta 0), pack-reused 1078R
Receiving objects: 100% (1078/1078), 138.73 MiB | 1.45 MiB/s, done.
Resolving deltas: 100% (466/466), done.
Checking out files: 100% (270/270), done.

C:\Users\codefier\Documents\GitHub>