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

Zheng Zhan
Zheng Zhan
Jiayu Li
Jiayu Li
Siyue Wang
Siyue Wang
Xue Lin
Xue Lin

national conference on artificial intelligence, 2018.

Cited by: 3|Views17
EI

Abstract:

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. Specific forms of binary neural networks (BNNs) and stochastic computing ba...More

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