On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks

14 Mar 2018Yanzhi WangZheng ZhanJiayu LiJian TangBo YuanLiang ZhaoWujie WenSiyue WangXue Lin

Large-scale deep neural networks are both memory intensive and computation-intensive, thereby posing stringent requirements on the computing platforms. Hardware accelerations of deep neural networks have been extensively investigated in both industry and academia... (read more)

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