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MLExray
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Classroom Contents
Debugging Machine Learning on the Edge with MLExray
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- 1 Introduction
- 2 Michelles background
- 3 Why debugging ML on the edge
- 4 Traditional model
- 5 Benefits
- 6 Deployment
- 7 What can go wrong
- 8 MLExray
- 9 Python API
- 10 Reference Pipelines
- 11 Issues
- 12 Preprocessing errors
- 13 MLExray assertions
- 14 Quantization
- 15 Reference Pipeline
- 16 Hardware Requirements
- 17 MLExray Demo
- 18 Limitations
- 19 Pixi
- 20 Resources
- 21 Questions
