Developers - start your engines!

What is DeepRacer?

Developers of all skill levels can get hands-on experience with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.

AWS DeepRacer gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique that takes a very different approach to training models than other machine learning methods. Its superpower is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.

To participate you will need to be available for a technology workshop in the lead up to the competition.

Part 1. DeepRacer tech training session - Wednesday 30 June, 1-4pm

This workshop will provide developers of all skill levels an opportunity to get hands-on with AWS DeepRacer. Learn about the basics of machine learning and reinforcement learning (a machine learning technique, ideal for autonomous driving).

During the workshop, you will learn how to build a reinforcement learning model and submit that model to the AWS DeepRacer University of Auckland race on 21 July, for a chance to win prizes and glory.

To participate in this workshop and race you must have an individual AWS account set up, not an account that you share with other users. If you do not have an AWS account, sign up for one today. Credits will be issued to help get you started.

Please note you must attend this training session in order to be able to race on 21 July. Actual attendance is encouraged, but a Zoom link will be arranged for those outside of Auckland.

Part 2. DeepRacer University of Auckland race - Wednesday 21 July, 1-4pm

Race your DeepRacer car around Unleash Space for the chance to win trophies, Amazon Echos, gift cards and more!

Recommended Audience

• Data scientists
• Engineers
• Developers
• Researchers
• Individuals who want to learn about Machine Learning (ML) and Reinforcement Learning (RL)