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MobileNetV2 - comparison to literature
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Advances in Quantization for Efficient On-Device Neural Network Inference
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- 1 Intro
- 2 Low-precision numerical formats
- 3 INT8 and FP8 have the same number of values but different distributions.
- 4 INT8 and FP8 accuracy
- 5 Challenges in using integer quantization
- 6 Introduction to Quantization-Aware Training (QAT)
- 7 Oscillating weights in QAT
- 8 MobileNetV2 - comparison to literature
- 9 Why do outliers occur?
- 10 Outliers in Transformers
