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Feb, 2015
有限数值精度下的深度学习
Deep Learning with Limited Numerical Precision
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Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, Pritish Narayanan
TL;DR
该研究探讨有限精度数据表示和计算对神经网络训练的影响,并通过使用随机舍入的低精度定点计算方法在16位宽度的数据表示下训练深度网络来减少能量消耗并获得高分类准确性。
Abstract
Training of large-scale
deep neural networks
is often constrained by the available computational resources. We study the effect of
limited precision
data representation and computation on neural network training.
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