We have been invited to talk at the O’Reilly AI Conference in London. The event has attracted professionals and wannabes from around the world.
Some details of the talk:
Making reinforcement learning practical for real-world developers (sponsored by AWS)
Lyndon Leggate (Deep)
16:00–16:40
Wednesday, 16 October 2019
Location: Park SuiteBuilding machine learning-enabled products is hard for developers and data scientists; throw in a hardware component and the complexity increase exponentially.
Lyndon Leggate introduces you to reinforcement learning and walks you through a step-by-step demonstration of how you developer can up level your RL skills through autonomous driving.
This session is sponsored by AWS.
(description taken from the conference page)
We presented the basic concepts of reinforcement learning and DeepRacer itself, then started a new training to show how easy it is and presented the AWS DeepRacer Community. Finally, we invited listeners to join us during the AWS DeepRacer Meetup happening on the 23rd of October 2019.
We enjoyed the great time with our audience of about 70 people. There was some interest of varied nature – some wanted to get involved personally, others wanted to get their children interested. There were also questions about the ability to run an event on site.
On Thursday DeepRacer was also presented again by Ian Massingham at the Keynote. Follow the link to see the slides from the talk.
In the DeepRacer front I would also like to mention a talk The future of open source frameworks and cloud simulation for robots and AI systems development by Cam Buscaron and a slightly less related but still interesting Building, teaching, and training simulations for machine learning with a game engine by Paris Buttfield-Addison and Tim Nugent.