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

Cascaded networks for efficient face recognition

10 of 12

10 of 12

Cascaded networks for efficient face recognition

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

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

Automatically move to the next video in the Classroom when playback concludes

  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.