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5 janv. 2017 - Deep Learning with Low Precision by Half-wave Gaussian Quantization (HWGQ)

Description:

本文主要讨论了在低位宽量化的近似梯度训练中，梯度消失的问题，通过设计新的量化函数(sign/Q)和激活函数来保证梯度不消失，以实现量化模型的收敛。有趣的是，仅通过对relu函数的剪切或者log-tail变换，模型的性能得到了显著提升。这或许就是特征的影响

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5 janv. 2017

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~ Il y a 8 ans et 9 mois

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