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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Tayfun Gokmen, Murat Onen, Wilfried Haensch
Format:	Artykuł
Język:	English
Wydane:	Frontiers Media S.A. 2017-10-01
Seria:	Frontiers in Neuroscience
Hasła przedmiotowe:	convolutional neural networks (CNN) resistive processing unit (RPU) deep neural network deep learning resistive switching resistive random access memory (RRAM)
Dostęp online:	http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full

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