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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Bibliographic Details
Main Authors: Nikolay I. Chervyakov, Pavel A. Lyakhov, Maria V. Valueva, Georgii V. Valuev, Dmitrii I. Kaplun, George A. Efimenko, Denis V. Gnezdilov
Format: Article
Language:English
Published: FRUCT 2018-11-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
image processing
pattern recognition
Convolutional Neural Network
Residue Number System
FPGA
Online Access:https://fruct.org/publications/fruct23/files/Che2.pdf

Internet

https://fruct.org/publications/fruct23/files/Che2.pdf

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