MB-CNN: Memristive Binary Convolutional Neural Networks for Embedded Mobile Devices

MB-CNN: Memristive Binary Convolutional Neural Networks for Embedded Mobile Devices

Applications of neural networks have gained significant importance in embedded mobile devices and Internet of Things (IoT) nodes. In particular, convolutional neural networks have emerged as one of the most powerful techniques in computer vision, speech recognition, and AI applications that can impr...

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Bibliographic Details
Main Authors:	Arjun Pal Chowdhury, Pranav Kulkarni, Mahdi Nazm Bojnordi
Format:	Article
Language:	English
Published:	MDPI AG 2018-10-01
Series:	Journal of Low Power Electronics and Applications
Subjects:	convolutional neural networks binary convolutions in-situ processing RRAM technology computer architecture embedded systems
Online Access:	http://www.mdpi.com/2079-9268/8/4/38

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