Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach

645Citations
Citations of this article
1.5kReaders
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Deep learning has become an area of interest to the researchers in the past few years. Convolutional Neural Network (CNN) is a deep learning approach that is widely used for solving complex problems. It overcomes the limitations of traditional machine learning approaches. The motivation of this study is to provide the knowledge and understanding about various aspects of CNN. This study provides the conceptual understanding of CNN along with its three most common architectures, and learning algorithms. This study will help researchers to have a broad comprehension of CNN and motivate them to venture in this field. This study will be a resource and quick reference for those who are interested in this field.

Cite

CITATION STYLE

APA

Indolia, S., Goswami, A. K., Mishra, S. P., & Asopa, P. (2018). Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach. In Procedia Computer Science (Vol. 132, pp. 679–688). Elsevier B.V. https://doi.org/10.1016/j.procs.2018.05.069

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