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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Main Authors: Tayfun Gokmen, Murat Onen, Wilfried Haensch
פורמט: Article
שפה:English
יצא לאור: Frontiers Media S.A. 2017-10-01
סדרה:Frontiers in Neuroscience
נושאים:
convolutional neural networks (CNN)
resistive processing unit (RPU)
deep neural network
deep learning
resistive switching
resistive random access memory (RRAM)
גישה מקוונת:http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full

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