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13 June 2024 Research on the application of convolutional neural network based on PyTorch framework in handwritten digit recognition
Jiao Peng
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Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 1318059 (2024) https://doi.org/10.1117/12.3033677
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China
Abstract
With the continuous development of deep learning technologies, Convolutional Neural Network (CNN) have become one of the core technologies in the field of image processing and pattern recognition. As a basic problem in computer vision, digit recognition plays an important role in automatic document processing, mail sorting and other applications. This paper aims to explore the performance of CNN model based on PyTorch framework in handwritten digit recognition task, and analyze the influence of its design parameters on recognition accuracy. The experimental results show that the proposed network architecture has superior recognition capability on MNIST data set, and provides a reliable technical reference for further research.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Jiao Peng "Research on the application of convolutional neural network based on PyTorch framework in handwritten digit recognition", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 1318059 (13 June 2024); https://doi.org/10.1117/12.3033677
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KEYWORDS
Convolutional neural networks
Data modeling
Mathematical optimization
Performance modeling
Machine learning
Image processing
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