Memristor Based Binary Convolutional Neural Network Architecture With Configurable Neurons

Memristor Based Binary Convolutional Neural Network Architecture With Configurable Neurons

The memristor-based convolutional neural network (CNN) gives full play to the advantages of memristive devices, such as low power consumption, high integration density, and strong network recognition capability. Consequently, it is very suitable for building a wearable embedded application system an...

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Bibliographic Details
Main Authors: Lixing Huang, Jietao Diao, Hongshan Nie, Wei Wang, Zhiwei Li, Qingjiang Li, Haijun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Neuroscience
Subjects:
memristor
binarized neural networks
convolutional neural networks
device defects effect
configurable neuron
neuromorphic computing
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.639526/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.639526/full

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