Hassan, A., Refaat, M., Hemeida, A. (2022). Image classification based deep learning: A Review. test, 2(1), 11-35. doi: 10.21608/aujst.2022.259887
Aya Hassan; Moatamed Refaat; Ashraf M Hemeida. "Image classification based deep learning: A Review". test, 2, 1, 2022, 11-35. doi: 10.21608/aujst.2022.259887
Hassan, A., Refaat, M., Hemeida, A. (2022). 'Image classification based deep learning: A Review', test, 2(1), pp. 11-35. doi: 10.21608/aujst.2022.259887
Hassan, A., Refaat, M., Hemeida, A. Image classification based deep learning: A Review. test, 2022; 2(1): 11-35. doi: 10.21608/aujst.2022.259887

Image classification based deep learning: A Review

Aswan University Journal of Sciences and Technology
Volume 2, Issue 1, June 2022, Pages 11-35    PDF (1.36 M)
Document Type: Original papers
DOI: 10.21608/aujst.2022.259887
Authors
Aya Hassan* 1; Moatamed Refaat* 1; Ashraf M Hemeida* 2
1Department of Mathematics, Faculty of Sciences, Aswan University
2Electrical Engineering Department, Faculty of Energy Engineering, Aswan University
Abstract
The image classification is a classical problem of image processing, computer vision and machine learning fields. Image classification is a complex procedure which relies on different components. In this paper we study the image classification using deep learning. computer vision science, image classification implementation, and deep neural networks are presented. This article discusses The development of a Convolutional Neural Network (CNN) and its various architectures, which have shown great efficiency and evaluation in image classification. A literature review is conducted to illustrate the significance and the details of Convolutional Neural Networks in various applications.
Keywords
Computer Vision; Machine Learning; Image Classification; Deep Learning; CNN
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