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Algorithm for Training Neural Networks on Resistive Device Arrays

Hardware architectures composed of resistive cross-point device arrays can provide significant power and speed benefits for deep neural network training workloads using stochastic gradient descent (SGD) and backpropagation (BP) algorithm. The training accuracy on this imminent analog hardware, howev...

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Bibliografiske detaljer
Udgivet i:Front Neurosci
Main Authors: Gokmen, Tayfun, Haensch, Wilfried
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7054461/
https://ncbi.nlm.nih.gov/pubmed/32174807
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00103
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