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