Introduction to AWS DeepRacer
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This document provides an introduction to AWS DeepRacer. It discusses that machine learning involves using algorithms to parse data and learn to make predictions. To use AWS DeepRacer, one needs an AWS account and about $30 per month. It also covers that AWS DeepRacer uses reinforcement learning for autonomous racing and has both physical and virtual simulators with leagues. Instructions are provided on how to get started, including joining the Slack channel or using the AWS console, custom instances, or physical servers.
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The document discusses how various manufacturing companies are using AWS to drive digital transformation across their value chains. It provides examples of Airbus using AWS to build a global data platform to gather aircraft performance data and SKF using AWS IoT services to connect smart products with smart factories. It also shares how Georgia-Pacific is establishing an "enterprise data lake" on AWS to power advanced analytics across its manufacturing operations.
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Artificial Intelligence & Machine Learning on AWS
"Here are the steps to book a hotel using Amazon Lex:
1. Define the intent schema and slot types that capture the parameters needed for a hotel booking, such as city, dates, etc.
2. Build utterances for examples of how a user might request a hotel booking. Train the intent model.
3. Configure the fulfillment Lambda function to process the intent and slot information and perform the actual booking.
4. Test the bot by having conversations with Amazon Lex where you provide sample requests and receive responses from the fulfillment function.
5. Deploy the bot for end users to interact with via text or voice for their hotel booking needs."
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CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...
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"Here are the steps to book a hotel using Amazon Lex:
1. Define the intent schema and slot types that capture the parameters needed for a hotel booking, such as city, dates, etc.
2. Build utterances for examples of how a user might request a hotel booking. Train the intent model.
3. Configure the fulfillment Lambda function to process the intent and slot information and perform the actual booking.
4. Test the bot by having conversations with Amazon Lex where you provide sample requests and receive responses from the fulfillment function.
5. Deploy the bot for end users to interact with via text or voice for their hotel booking needs."
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CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...
CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...
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Introduction to AWS DeepRacer
- 1. An introduction to AWS DeepRacer by Clive Nethersole
- 2. Agenda • Introduction • What’s Machine Learning? • What I need? • What you need to know? • How to start? AWS DeepRacer
- 4. What’s Machine Learning? “Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.” “Machine Learning at its most basic is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the world.” AWS Deepracer
- 5. What do I need? • AWS Account • Thoughtful and Curious mindset • About $30 per month (based on AWS example) or credits AWS Deepracer
- 6. What you need to know? • RL for the Sunday driver • Physical / Virtual simulator + league • Rubber hits the road AWS Deepracer
- 7. RL for the Sunday driver AWS Deepracer
- 8. RL for the Sunday driver AWS Deepracer
- 9. Physical / Virtual simulator + league AWS Deepracer
- 10. Rubber hits the road AWS Deepracer
- 11. Rubber hits the road AWS Deepracer
- 12. Rubber hits the road AWS Deepracer
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- 14. Rubber hits the road AWS Deepracer
- 15. Rubber hits the road AWS Deepracer
- 16. Rubber hits the road AWS Deepracer
- 17. Rubber hits the road AWS Deepracer
- 18. Rubber hits the road AWS Deepracer
- 19. How to start? • Join the Slack channel • Click here • Console (best place to start as a novice) • Click here • Using your own instance(s) • Click here (got a bit of experience) • Using your own physical servers (local) {for the guys who want to win} • Helpful Documentation • Click here (DeepRacer Community) • Click here (Developer Guide) AWS Deepracer