Avoiding Loss of Quality in Tiny Models - Neuton.ai Partner Session

Avoiding Loss of Quality in Tiny Models - Neuton.ai Partner Session

tinyML via YouTube Direct link

Ideal edge hardware device

17 of 23

17 of 23

Ideal edge hardware device

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Classroom Contents

Avoiding Loss of Quality in Tiny Models - Neuton.ai Partner Session

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  1. 1 Intro
  2. 2 Summary
  3. 3 Platform Overview
  4. 4 Prediction Tab
  5. 5 Model Data Relevance Indicator
  6. 6 Customization
  7. 7 Compact models
  8. 8 Sensors
  9. 9 MCUs
  10. 10 Floats
  11. 11 QA
  12. 12 Roadmap
  13. 13 Cloud dependency
  14. 14 Time to iteration
  15. 15 Big data
  16. 16 Time taken for iteration
  17. 17 Ideal edge hardware device
  18. 18 Ideal collaborators
  19. 19 Closing remarks
  20. 20 Did you try to implement the generated model
  21. 21 Top questions
  22. 22 Reconfigurable spiking neural network
  23. 23 Conclusion

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