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Introduction
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Classroom Contents
Deploy AI with AWS ML and IoT Services on Jetson Nano
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- 1 Introduction
- 2 Welcome
- 3 Agenda
- 4 Machine Learning Process
- 5 Machine Learning Project
- 6 Label Data
- 7 Build Model
- 8 Recap
- 9 Machine Learning Algorithms
- 10 Deployment
- 11 SageMaker Web Console
- 12 SageMaker Key Features
- 13 Machine Learning
- 14 Price
- 15 Model Plane
- 16 Greengrass
- 17 Demo
- 18 SageMaker Ground Truth
- 19 SageMaker Notebook
- 20 Download SageMaker
- 21 Deploy Green Grass
- 22 Visualize and Analyze Video
- 23 QA
- 24 Supported frameworks
- 25 Realtime video processing
- 26 Yellow 3 deployment
- 27 Possible applications
- 28 Features Infrastructure
- 29 Implementation on Nano
- 30 SD Card Images
- 31 Multiple Models
- 32 StageMaker
- 33 Storage
- 34 Models on AWS
- 35 Optimized Training in SageMaker
- 36 SageMaker Performance
- 37 Lambda on Green Grass
- 38 Deploy custombuilt models
