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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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Autors principals: Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Valueva, M. V., Валуева, М. В.
Format: Статья
Idioma:English
Publicat: Institute of Electrical and Electronics Engineers Inc. 2018
Matèries:
Accés en línia: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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