Deep Learning Models Based on Image Classification: A Review Kavi B. Obaid, Subhi R. M. Zeebaree & Omar M. Ahmed

Deep Learning Models Based on Image Classification: A Review

Author (s)

Kavi B. Obaid, Subhi R. M. Zeebaree & Omar M. Ahmed

Abstract

With the development of the big data age, deep learning developed to become having a more complex network structure and more powerful feature learning and feature expression abilities than traditional machine learning methods. The model trained by the deep learning algorithm has made remarkable achievements in many large-scale identification tasks in the field of computer vision since its introduction. This paper first introduces the deep learning, and then the latest model that has been used for image classification by deep learning are reviewed.  Finally, all used deep learning models in the literature have been compared to each other in terms of accuracy for the two most challenging datasets CIFAR-10 and CIFAR-100.

 Keywords: Deep Learning, Image Classification, Machine Learning, Models.

Download PDF

Title: Deep Learning Models Based on Image Classification: A Review
Author: Kavi B. Obaid, Subhi R. M. Zeebaree & Omar M. Ahmed
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4108433
Media: Online
Volume: 4
Issue: 11
Acceptance Date: 13/10/2020
Date of Publication: 20/10/2020
PDF URL: https://ijsab.com/wp-content/uploads/612.pdf
Free download: Available
Page: 75-81
First Page: 75
Last Page: 81
Paper Type: Research article
Current Status: Published

 

Cite This Article:

Kavi B. Obaid, Subhi R. M. Zeebaree & Omar M. Ahmed (2020). Deep Learning Models Based on Image Classification: A Review. International Journal of Science and Business, 4(11), 75-81. doi: https://doi.org/10.5281/zenodo.4108433

Retrieved from https://ijsab.com/wp-content/uploads/612.pdf

 

About Author (s)

Kavi B. Obaid, Computer Science Department, College of Science, University of Zakho, Iraq (e-mail: kavi.obaid@uoz.edu.krd).

Subhi R. M. Zeebaree, Duhok Polytechnic University, Iraq (e-mail: subhi.rafeeq@dpu.edu.krd).

Omar M. Ahmed, (Corresponding author),Information Technology Department, Zakho Technical Institute, Duhok Polytechnic University, Iraq (e-mail: omar.alzakholi@uoz.edu.krd).

 

 

Download PDF

DOI: https://doi.org/10.5281/zenodo.4108433

Follow us

This Post Has Been Viewed 163 Times

0Shares