From Small to Tiny: Co-designing ML Models, Computational Precision, and Circuits - Energy-Accuracy Trade-offs

From Small to Tiny: Co-designing ML Models, Computational Precision, and Circuits - Energy-Accuracy Trade-offs

tinyML via YouTube Direct link

Algorithm level choices: implications

6 of 12

6 of 12

Algorithm level choices: implications

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From Small to Tiny: Co-designing ML Models, Computational Precision, and Circuits - Energy-Accuracy Trade-offs

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  1. 1 Intro
  2. 2 Circuit level choices
  3. 3 Circuit level implications
  4. 4 Architecture level choices (2)
  5. 5 Algorithm level choices: precision
  6. 6 Algorithm level choices: implications
  7. 7 Parametrized HW energy/latency/area model
  8. 8 Energy-based cross-layer optimization
  9. 9 Needs for flexible systems with cross-layer framework
  10. 10 Cascaded networks for efficient face recognition
  11. 11 Cascaded ML models for efficient keyword & speaker recognit
  12. 12 Towards embedded Deep Neural Networks

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