We are going to run a series of experiments where you learn AI on your own by experimenting.

Here are the tools required for us to start experimenting with AI.

  • VSCode (Pytorch snippets, Python)
  • Conda
  • Pytorch + Tensorboard
  • Git and an account with Github

You need to do the following

Step 1:

Create a conda environment and install pytorch library inside the environment

conda create -n teamatom python=3
conda activate teamatom

Step 2:

Install pytorch based on your cuda version. Follow the instructions on this page.

An open source machine learning framework that accelerates the path from research prototyping to production deployment.

Step 3:

Install VSCode on your system.

Download Visual Studio Code - Mac, Linux, Windows
Visual Studio Code is free and available on your favorite platform - Linux, macOS, and Windows. Download Visual Studio Code to experience a redefined code editor, optimized for building and debugging modern web and cloud applications.

If you don't have a powerful system for mnist experiments use online tools like

  • Google Colab (gpu, tpu, no-git)
  • Deepnote (no gpu, git available)

Step 4:

View all videos here and understand what neural netowrks are so we can go ahead and implement them.

Neural networks
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If you want to be part of this program drop us a mail at discover@atom360.io