Energy-Efficient Gabor Kernels in Neural Networks with Genetic Algorithm Training Method

Energy-Efficient Gabor Kernels in Neural Networks with Genetic Algorithm Training Method

Deep-learning convolutional neural networks (CNNs) have proven to be successful in various cognitive applications with a multilayer structure. The high computational energy and time requirements hinder the practical application of CNNs; hence, the realization of a highly energy-efficient and fast-le...

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Bibliographic Details
Main Authors: Fanjie Meng, Xinqing Wang, Faming Shao, Dong Wang, Xia Hua
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Electronics
Subjects:
deep learning
approximate computing
convolutional neural networks
Gabor kernels
energy efficiency
multipopulation genetic algorithm
Online Access:http://www.mdpi.com/2079-9292/8/1/105

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http://www.mdpi.com/2079-9292/8/1/105

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