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efficient machine learning

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DataFunTalk
DataFunTalk
Dec 19, 2019 · Artificial Intelligence

Model Quantization in Neural Networks: Challenges, Solutions, and Future Directions

This article reviews neural‑network model quantization, explaining why quantization is needed, detailing forward‑ and backward‑propagation issues, presenting three main mitigation strategies, discussing subsequent pruning, performance‑recovery techniques, and outlining future research avenues in efficient machine learning.

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Model Quantization in Neural Networks: Challenges, Solutions, and Future Directions