The Weber Fechner Law of psychophysics observes that human perception is logarithmic in the stimulus. We present an algorithm for incorporating the Weber Fechner law into loss functions for machine learning, and use the algorithm to enhance the performance of deep learning networks.

翻译：《Weber Fechner精神物理学法》指出,人类感知在刺激中是逻辑性的。 我们提出了一个算法,将Weber Fechner法纳入机器学习的损失功能,并使用算法提高深层学习网络的绩效。