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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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Những tác giả chính: Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Valueva, M. V., Валуева, М. В., Valuev, G. V., Валуев, Г. В.
Định dạng: Статья
Ngôn ngữ:English
Được phát hành: IEEE Computer Society 2019
Những chủ đề:
Computer hardware
Convolution
Cost reduction
Image recognition
MATLAB
Neural networks
Numbering systems
Field programmable gate arrays (FPGA)
Truy cập trực tuyến: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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