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Classroom Contents
Inside TensorFlow - TF Model Optimization Toolkit - Quantization and Pruning
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- 1 Introduction
- 2 Overview
- 3 Why does this matter
- 4 Quantization is hard
- 5 Quantization during training
- 6 Quantization after training
- 7 Pruning
- 8 Quantization kernels
- 9 Quantitation spec
- 10 Cemetry
- 11 Perchannel condensation
- 12 Quantization tools
- 13 Integer Quantization
- 14 Hybrid Quantization
- 15 Postreading Integer Quantization
- 16 Quantization Accuracy
- 17 Quantization Benefits
- 18 Summary
- 19 Pruning Tools
- 20 Quantization API
- 21 Pruning Example
- 22 Pruning Summary
- 23 Matrix Multiplication
