2020
DOI: 10.3844/jcssp.2020.1570.1584
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Efficient Implementation of Stochastic Computing Based Deep Neural Network on Low Cost Hardware with Saturation Arithmetic

Abstract: This study presents an efficient and rapid implementation of Stochastic Computing (SC) based Deep Neural Network (DNN) on a lowcost hardware platform. The proposed technique uses bipolar signal encoding in stochastic computing which relatively gives low hardware footprint compared to binary computing. Thereinafter, stochastic max function is presented and subsequently used to approximate the hyperbolic tangent activation function in SC. In addition, saturation arithmetic is proposed to reduce down scaling para… Show more

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