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Area-efficient FPGA implementation of minimalistic convolutional neural network using residue number system

Area-efficient FPGA implementation of minimalistic convolutional neural network using residue number system

Convolutional Neural Networks (CNN) is the promising tool for solving task of image recognition in computer vision systems. However, the most known implementation of CNNs require a significant amount of memory for storing weights in training and work. To reduce the resource costs of CNN implementati...

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Bibliografiske detaljer
Главные авторы: Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Valueva, M. V., Валуева, М. В., Valuev, G. V., Валуев, Г. В.
Format: Статья
Sprog:English
Udgivet: IEEE Computer Society 2019
Fag:
Computer hardware
Convolution
Cost reduction
Image recognition
MATLAB
Neural networks
Numbering systems
Field programmable gate arrays (FPGA)
Online adgang:https://www.scopus.com/record/display.uri?eid=2-s2.0-85061049082&origin=resultslist&sort=plf-f&src=s&st1=%09Area-Efficient+FPGA+Implementation+of+Minimalistic+Convolutional+Neural+Network+Using+Residue+Number+System&st2=&sid=5de745aaf0b399b11edbcdbf364e241e&sot=b&sdt=b&sl=123&s=TITLE-ABS-KEY%28%09Area-Efficient+FPGA+Implementation+of+Minimalistic+Convolutional+Neural+Network+Using+Residue+Number+System%29&relpos=0&citeCnt=0&searchTerm=
https://dspace.ncfu.ru/handle/20.500.12258/4353
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85061049082&origin=resultslist&sort=plf-f&src=s&st1=%09Area-Efficient+FPGA+Implementation+of+Minimalistic+Convolutional+Neural+Network+Using+Residue+Number+System&st2=&sid=5de745aaf0b399b11edbcdbf364e241e&sot=b&sdt=b&sl=123&s=TITLE-ABS-KEY%28%09Area-Efficient+FPGA+Implementation+of+Minimalistic+Convolutional+Neural+Network+Using+Residue+Number+System%29&relpos=0&citeCnt=0&searchTerm=
https://dspace.ncfu.ru/handle/20.500.12258/4353

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