259887

Image classification based deep learning: A Review

Article

Last updated: 05 Jan 2025

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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.

DOI

10.21608/aujst.2022.259887

Keywords

Computer Vision, Machine Learning, Image classification, Deep learning, CNN

Authors

First Name

Aya

Last Name

Hassan

MiddleName

-

Affiliation

Department of Mathematics, Faculty of Sciences, Aswan University

Email

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City

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Orcid

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First Name

Moatamed

Last Name

Refaat

MiddleName

-

Affiliation

Department of Mathematics, Faculty of Sciences, Aswan University

Email

-

City

-

Orcid

-

First Name

Ashraf

Last Name

Hemeida

MiddleName

M

Affiliation

Electrical Engineering Department, Faculty of Energy Engineering, Aswan University

Email

ashraf@aswu.edu.eg

City

-

Orcid

-

Volume

2

Article Issue

1

Related Issue

36745

Issue Date

2022-06-01

Receive Date

2022-09-16

Publish Date

2022-06-01

Page Start

11

Page End

35

Print ISSN

2735-3087

Online ISSN

2735-3095

Link

https://aujst.journals.ekb.eg/article_259887.html

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https://aujst.journals.ekb.eg/service?article_code=259887

Order

259,887

Type

Original papers

Type Code

2,312

Publication Type

Journal

Publication Title

Aswan University Journal of Sciences and Technology

Publication Link

https://aujst.journals.ekb.eg/

MainTitle

Image classification based deep learning: A Review

Details

Type

Article

Created At

23 Jan 2023