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