Don Barber

This workshop dives deep on how to use an Amazon SageMaker notebook instance to augment the simulation environment, manipulate inputs to the neural network, modify neural network architecture, run distributed rollouts, and debug your AWS DeepRacer model. This workshop is designed for those familiar with AWS DeepRacer and Amazon SageMaker.

Work to make your way from the middle of the pack to the top of the AWS DeepRacer podium! Building on the foundational knowledge from making your first model, this workshop extends your machine learning prowess.

Resiliency, recovery, and reliability are fundamental to architecting applications. Each concept builds on the other to provide a framework of architectural considerations through different lenses.

Make your way from the middle of the pack to the top of the AWS DeepRacer podium. Once you’ve built your first reinforcement learning model, extend your machine learning skills in this session by exploring how human analysis of reinforcement learning through logs improves your performance through trend identification and optimization to better prepare for new racing divisions coming to the AWS...