Welcome to the AWS DeepRacer Pit Stop, where developers of all skill levels can share and pick up some racing tips from the AWS DeepRacer community. Find the most up to date resources and advice from our experts on how to tune models to improve lap times, and share racing strategy with racers from around the world.
Connect with the Community
Ask questions, exchange tips, and share best practices with fellow racers.
Check out other AWS DeepRacer resources including the AWS DeepRacer Reddit community, Developer Forum, Twitter, and Instagram.
Watch the 2020 re:Invent sessions on-demand to quickly learn how to make your way to the podium.
Learn quick tips about machine learning such as the model building process and the action space.
Whether you are new to machine learning or ready to build on your existing skills, we can help you get ready to race.
Deep dive with AWS DeepRacer experts on techniques to test your first model.
AWS DeepRacer TV
AWS DeepRacer TV follows the world’s first global autonomous racing league, featuring developers of all skill levels as they progress their machine learning skills. Tune in to follow the journey as F1 professionals Daniel Ricciardo, Tatiana Calderón, and Rob Smedley as they face off against first time and expert ML developers alike all hoping to qualify for a chance to win the Championship Cup at AWS re:Invent.
Can’t get enough F1? Rejoin our AWS DeepRacer experts, Brian Townsend and Eddie Calleja, along with F1’s Rob Smedley as we dive deeper into the machine learning strategies employed by the pros during Grand Prix.
Information on AWS DeepRacer pricing and integration with other AWS services.
Information on AWS DeepRacer League rules and eligibility requirements.
Get hands-on with RL, experiment, and learn through autonomous driving.