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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Bibliographische Detailangaben
Hauptverfasser: Tayfun Gokmen, Murat Onen, Wilfried Haensch
Format: Artikel
Sprache:English
Veröffentlicht: Frontiers Media S.A. 2017-10-01
Schriftenreihe:Frontiers in Neuroscience
Schlagworte:
convolutional neural networks (CNN)
resistive processing unit (RPU)
deep neural network
deep learning
resistive switching
resistive random access memory (RRAM)
Online Zugang:http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full

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