On-Device Continuous Event-Driven Deep Learning to Avoid Model Drift

On-Device Continuous Event-Driven Deep Learning to Avoid Model Drift

tinyML via YouTube Direct link

How to adapt Voice CMD Acceptance Rate to reality?

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7 of 8

How to adapt Voice CMD Acceptance Rate to reality?

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On-Device Continuous Event-Driven Deep Learning to Avoid Model Drift

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  1. 1 Intro
  2. 2 The law of Big Data.. on the ground!
  3. 3 Ex: speech to intent Al workflow
  4. 4 Learning ground reality
  5. 5 Data centric rather than parametric model generator Event-driven rather than intent-driven
  6. 6 On-device Comprehensive Al Software Product
  7. 7 How to adapt Voice CMD Acceptance Rate to reality?
  8. 8 Competitive Landscape

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