SWIS: Shared Weight Bit Sparsity for Efficient Neural Network Acceleration

SWIS: Shared Weight Bit Sparsity for Efficient Neural Network Acceleration

tinyML via YouTube Direct link

SWIS Retraining

9 of 11

9 of 11

SWIS Retraining

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

SWIS: Shared Weight Bit Sparsity for Efficient Neural Network Acceleration

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

  1. 1 Introduction
  2. 2 Why we need SWIS
  3. 3 Base Sparsity
  4. 4 Quantization Error
  5. 5 Base Serial Multiplier
  6. 6 SWIS Architecture
  7. 7 SWIS Computation Animation
  8. 8 SWIS Scheduling
  9. 9 SWIS Retraining
  10. 10 Questions
  11. 11 Sponsors

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.