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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Dettagli Bibliografici
Autori principali:	Tayfun Gokmen, Murat Onen, Wilfried Haensch
Natura:	Articolo
Lingua:	English
Pubblicazione:	Frontiers Media S.A. 2017-10-01
Serie:	Frontiers in Neuroscience
Soggetti:	convolutional neural networks (CNN) resistive processing unit (RPU) deep neural network deep learning resistive switching resistive random access memory (RRAM)
Accesso online:	http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full

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