Binarized Neural Network with Stochastic Memristors

被引：0

作者：

Krestinskaya, Olga ^{[1
]}

Otaniyozov, Otaniyoz ^{[1
]}

James, Alex Pappachen ^{[1
]}

机构：

[1] Nazarbayev Univ, Dept Elect & Comp Engn, Astana, Kazakhstan

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2019) | 2019年

关键词：

BNN; Memristors; Analog Circuits; Memristor Variability;

D O I：

10.1109/aicas.2019.8771565

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes the analog hardware implementation of Binarized Neural Network (BNN). Most of the existing hardware implementations of neural networks do not consider the memristor variability issue and its effect on the overall system performance. In this work, we investigate the variability in memristive devices in crossbar dot product computation and leakage currents in the proposed BNN, and show how it effects the overall system performance.

引用

页码：274 / 275

页数：2

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