Kickstart Your Machine Learning Career with AWS DeepRacer
summary
Introduction to AWS DeepRacer showing how developers can gain hands-on experience building reinforcement learning models for autonomous driving using the AWS DeepRacer platform and submit those models to the AWS DeepRacer League. Covers machine learning basics, reinforcement learning concepts, and upcoming 2021 features and competitions with chances to win prizes.
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chapters (16)
- 0:00Introduction
- 0:23Agenda
- 1:47Hands-on Reinforcement Learning Experience
- 3:51Reinforcement Learning in the Context of AI
- 6:09Reinforcement Learning in the Real World
- 7:01Reinforcement Learning Terms
- 9:03The Reward Function in a Race
- 9:30Rewards - Driving on the Center Line
- 9:58Iteration and Convergence
- 10:41Exploration vs. Exploitation
- 11:39How Does Learning Happen?
- 13:32Architecture - Neural Network
- 15:39Programming Reward Functions
- 17:08Coordinate System and Waypoint Tracking
- 25:31Customize Your Agent’s Sensors in the Garage
- 26:16Join the 2021 League
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