EfficientML.ai: Quantization Part II - Lecture 6

EfficientML.ai: Quantization Part II - Lecture 6

MIT HAN Lab via YouTube Direct link

Introduction

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1 of 21

Introduction

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Classroom Contents

EfficientML.ai: Quantization Part II - Lecture 6

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  1. 1 Introduction
  2. 2 Outline
  3. 3 Agenda
  4. 4 Rooney Quantization
  5. 5 Original Weight
  6. 6 Scaling Factor
  7. 7 Convolution
  8. 8 Posttraining quantization
  9. 9 Quantization granularity
  10. 10 Perchannel quantization
  11. 11 Skating Factor
  12. 12 Clipping clipping clipping
  13. 13 Selecting clipping range
  14. 14 Fine tuning
  15. 15 Weight
  16. 16 Activation
  17. 17 Quantization Example
  18. 18 Quantization Notation
  19. 19 Quantization Results
  20. 20 Binary ternary quantization
  21. 21 Stochastic binarization

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