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...

書目詳細資料
Main Authors:	Tayfun Gokmen, Murat Onen, Wilfried Haensch
格式:	Article
語言:	English
出版:	Frontiers Media S.A. 2017-10-01
叢編:	Frontiers in Neuroscience
主題:	convolutional neural networks (CNN) resistive processing unit (RPU) deep neural network deep learning resistive switching resistive random access memory (RRAM)
在線閱讀:	http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full

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