Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

In a previous work we have detailed the requirements for obtaining maximal deep learning performance benefit by implementing fully connected deep neural networks (DNN) in the form of arrays of resistive devices. Here we extend the concept of Resistive Processing Unit (RPU) devices to convolutional n...

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Bibliografische gegevens
Hoofdauteurs:	Tayfun Gokmen, Murat Onen, Wilfried Haensch
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	Frontiers Media S.A. 2017-10-01
Reeks:	Frontiers in Neuroscience
Onderwerpen:	convolutional neural networks (CNN) resistive processing unit (RPU) deep neural network deep learning resistive switching resistive random access memory (RRAM)
Online toegang:	http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full

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