The eye of artificial intelligence - Convolutional Neural Networks

Jiamin Jiang

doi:10.54254/2755-2721/76/20240613

Research Article

Open access

Published on 16 July 2024

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Jiang,J. (2024). The eye of artificial intelligence - Convolutional Neural Networks. Applied and Computational Engineering,76,273-279.

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The eye of artificial intelligence - Convolutional Neural Networks

Jiamin Jiang *^,1,

¹ Xi’an Jiaotong-Liverpool University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/76/20240613

Abstract

Inspired by the biological visual system, the convolutional neural network has been widely studied and invented in the field of artificial intelligence. As one of the important algorithms in artificial neural networks, convolutional neural networks have shown outstanding application potential in fields such as image recognition, computer vision, and natural language processing. This article will focus on exploring the powerful capabilities of convolutional neural networks in image processing. By delving into the implementation process of a convolutional neural network, readers will gain a deeper understanding of its working principles. In addition, this article will briefly introduce three classic models of convolutional neural networks, providing readers with more background knowledge. Next, this paper will analyze in detail two typical application cases of convolutional neural networks in the field of image processing: intelligent transportation systems and dental imaging technology. These cases demonstrate the successful application of convolutional neural networks in practical scenarios, pointing the way for their future development. In the future, convolutional neural networks will be more widely used in fields such as image and video processing as data scale increases and computing power improves. By using techniques such as model compression and hardware optimization, it is made more suitable for low-power and high-efficiency environments, and its interpretability and applicability are enhanced through data augmentation and model interpretation techniques.

Keywords

Convolutional Neural Network, Artificial Neural Network, Artificial Intelligence, Image Recognition

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Cite this article

Jiang,J. (2024). The eye of artificial intelligence - Convolutional Neural Networks. Applied and Computational Engineering,76,273-279.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Software Engineering and Machine Learning

Conference website: https://www.confseml.org/

ISBN：978-1-83558-511-5(Print) / 978-1-83558-512-2(Online)

Conference date: 15 May 2024

Editor：Stavros Shiaeles

Series: Applied and Computational Engineering

Volume number: Vol.76

ISSN：2755-2721(Print) / 2755-273X(Online)

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