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AWS DeepRacer, launched by Amazon Web Services (AWS), is an autonomous driving scale model race car designed to be a fun and practical tool for education and research in the field of machine learning, especially reinforcement learning. Here's a more detailed introduction to AWS DeepRacer:
Basic Concepts Purpose:
AWS DeepRacer serves as a learning and experimental platform, intended to enable developers to easily understand and begin using machine learning. Size: It's a 1/18 scale remote-controlled race car, equipped with various sensors and cameras.
Technical Features Reinforcement Learning:
DeepRacer uses a special method of machine learning called reinforcement learning, where the model learns how to complete tasks through trial and error.
Autonomous Driving:
This race car can navigate and drive autonomously based on its trained model. Education and Competition DeepRacer Events: AWS regularly holds DeepRacer competitions, where participants can test their trained models on a track.
Practical Learning:
DeepRacer provides an excellent platform for practical learning, allowing participants to understand the principles of machine learning through hands-on experience.
Integration with AWS AWS Services:
evelopers can use AWS services like Amazon SageMaker to train and tweak their models. Cloud Integration: DeepRacer is closely integrated with the AWS cloud platform, making training and deployment of models convenient.
Time and Location
Date: February 1, 2024, 13:00-16:00
Location: Shih Chien University L407, L408
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