A review on image classification using deep learning
Department of Electronics and Communication Engineering, Oriental institute of science and technology, Bhopal.
Review Article
World Journal of Advanced Research and Reviews, 2023, 17(01), 480-482
Article DOI: 10.30574/wjarr.2023.17.1.0064
Publication history:
Received on 04 December 2022; revised on 14 January 2023; accepted on 17 January 2023
Abstract:
Classifying images helps computers identify more things that humans can see. to identify the picture in the same way a person would. Despite widespread use, issues with the current conventional system's categorization accuracy, adaptability, and impact remain unsatisfactory. Therefore, deep learning has been suggested for image categorization as a means to both address these issues and boost accuracy. In this article, we introduce the fundamental ideas behind picture classification using deep learning, review the several algorithms that may be used for this task, and then examine the benefits of utilizing deep learning for this task, as well as the numerous applications that make use of this technique.
Keywords:
Images Classification; Deep learning; DNN; Computer Vision
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0