Increasing of convolutional neural network performance using residue number system

Increasing of convolutional neural network performance using residue number system

This paper considers the method of pattern recognition based on a convolutional neural network using Sobel filters. Parameters of the convolutional neural network blocks were chosen experimentally by software modeling in MATLAB. We presents the architecture of the convolutional neural network constr...

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書誌詳細
主要な著者:	Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Valueva, M. V., Валуева, М. В.
フォーマット:	Статья
言語:	English
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2018
主題:	Convolutional Neural Network (CNN) Image processing Pattern recognition Residue number system (RNS)
オンライン･アクセス:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85040520452&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort+caucas+fed+univ&sid=6e44c4739f67eaef119fa92298a82e4b&sot=afnl&sdt=sisr&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%28Increasing+of+convolutional+neural+network+performance+using+residue+number%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru:443/handle/20.500.12258/528
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