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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Tayfun Gokmen, Murat Onen, Wilfried Haensch
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Frontiers Media S.A. 2017-10-01
Sarja:Frontiers in Neuroscience
Aiheet:
convolutional neural networks (CNN)
resistive processing unit (RPU)
deep neural network
deep learning
resistive switching
resistive random access memory (RRAM)
Linkit:http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2017.00538/full

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