Comparative analysis of CNN models for handwritten digit recognition

The paper discusses the subject of convolutional neural networks used for handwritten digit classification. The purpose of the research is to evaluate the accuracy, performance, training, and classification time of three OCR networks (VGG-16, VGG-19 and AlexNet) and compare them with each other whi...

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Bibliographic Details
Main Authors: Krystyna Banaszewska, Małgorzata Plechawska-Wójcik
Format: Article
Language:English
Published: Lublin University of Technology 2024-09-01
Series:Journal of Computer Sciences Institute
Subjects:
Online Access:https://ph.pollub.pl/index.php/jcsi/article/view/6239
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