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4 dic 2016 año - Trained Ternary Quantization (TTQ)

Descripción:

提出了可训练的三值网络，对正负值分别使用不同的缩放因子，并使用梯度更新缩放因子，实现了更高精度的三值网络，实验表明TTQ在AlexNet上可以比全精度网络提升0.3%的精度，并且平均比之前的三值网络精度高3%.

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Quantization timeline

29 mar 2020

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fecha:

4 dic 2016 año

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