Investigation of Hardware Implementation of a Feedforward Neural Network for Handwritten Digit Recognition Based on FPGA

Investigation of Hardware Implementation of a Feedforward Neural Network for Handwritten Digit Recognition Based on FPGA

A hardware implementation based on Field Programmable Gate Array (FPGA) of a single-layer feedforward neural network for handwritten digit recognition has been developed. The effect of the network coefficient bit depth on the recognition accuracy and FPGA hardware costs has been studied. The neural...

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Bibliographic Details
Main Authors: E. A. Krivalсevich, M. I. Vashkevich
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2025-04-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
neural network
handwritten digit recognition
fully connected layer
mnist
fpga
bit planes
Online Access:https://doklady.bsuir.by/jour/article/view/4117
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