Image classification based deep learning: A Review

  • Hassan A
  • Refaat M
  • Hemeida A
N/ACitations
Citations of this article
147Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Hassan, A., Refaat, M., & Hemeida, A. (2022). Image classification based deep learning: A Review. Aswan University Journal of Sciences and Technology, 2(1), 11–35. https://doi.org/10.21608/aujst.2022.259887

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free