Debugging Machine Learning on the Edge with MLExray

Debugging Machine Learning on the Edge with MLExray

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

MLExray assertions

13 of 21

13 of 21

MLExray assertions

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Debugging Machine Learning on the Edge with MLExray

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

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