From the Cloud to the Edge: Reverse-Engineering and Downsizing a Black Box ML Algorithm for Sleep Stage Prediction

From the Cloud to the Edge: Reverse-Engineering and Downsizing a Black Box ML Algorithm for Sleep Stage Prediction

EDGE AI FOUNDATION via YouTube Direct link

Wake on light sleep?

11 of 18

11 of 18

Wake on light sleep?

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From the Cloud to the Edge: Reverse-Engineering and Downsizing a Black Box ML Algorithm for Sleep Stage Prediction

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  1. 1 Intro
  2. 2 Edge Impulse
  3. 3 Back to 2019...
  4. 4 So... sleep stage prediction?
  5. 5 A really nice fit for TinyML
  6. 6 Very common pattern in health
  7. 7 Using big models to help labeling: YOLOV5
  8. 8 Using big models to help labeling: Whisper
  9. 9 Using big models to help labeling: Segment Anything
  10. 10 Using cloud-based algorithms to label
  11. 11 Wake on light sleep?
  12. 12 Fetching data from device
  13. 13 Setting up pipelines
  14. 14 Catch errors early
  15. 15 Doing some ML on it
  16. 16 Getting all this to run on device
  17. 17 Feature extraction
  18. 18 Shortening feedback loop

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