Building the World's Largest Game of Rock, Paper, Scissors with Computer Vision
Advance sign-up is required, and access is limited to the Primary Badge type listed. Sign-ups for workshops will open in late February.
Interested in learning about machine learning? Do you love games? Join us for this interactive workshop where we’ll learn to create a computer vision model that can understand if you’re throwing rock, paper, or scissors -- and match you to somewhere else anywhere in the world to compete against them. You’ll deploy the model to a webapp to power what could be the largest rock paper scissors tournament ever (record at the time of this writing: 10,033 participants).
Participants will learn the fundamentals of building production-ready computer vision models, including contributing to a “rock,” “paper,” “scissors” dataset and deploying the trained model to a live application.
By the end of the session, you’ll have experience with machine learning technologies like the latest state of the art models, using web technologies to deploy your model, and experience setting up active learning systems. Even better, you may be crowned the winner of a large tournament.
Computer programming knowledge (like how to call an API) is required; machine learning experience is not necessary. You'll need a laptop for this workshop.
Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.