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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书目详细资料
Main Authors: Tayfun Gokmen, Murat Onen, Wilfried Haensch
格式: 文件
语言:English
出版: Frontiers Media S.A. 2017-10-01
丛编:Frontiers in Neuroscience
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在线阅读:http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full