Optimizing Methods and Analysis of Multicast Routing with using Deep Learning

Authors

  • Salihah Nafis Student, Department of Computer Science and Engineering, Saudi Electronic University, Saudi Arabia
  • Dr. Tabrez Alam Professor, Department of Computer Science and Engineering, Saudi Electronic University, Saudi Arabia

DOI:

https://doi.org/10.54741/asejar.2.1.4

Keywords:

convolutional neural networks, deep learning, neural networks

Abstract

The machine learning technology has received increased attention in recent years in several vision tasks such as image classification, image detection, and image recognition. In particular, recent advances of machine learning techniques bring encouragement to image classification with convolutional neural networks. CNN has been established as a powerful class of models for image recognition problems and even in some cases they outperform humans. The main purpose of the work presented in this paper is the rise and development of machine learning, deep learning, CNN and to give an overview on using machine learning for image classification. At the end the comparison of CNN with traditional method is discussed.

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Published

2023-01-31

How to Cite

Salihah Nafis, & Dr. Tabrez Alam. (2023). Optimizing Methods and Analysis of Multicast Routing with using Deep Learning. Applied Science and Engineering Journal for Advanced Research, 2(1), 13–19. https://doi.org/10.54741/asejar.2.1.4