Semantic Scholar Open Access 2018 623 sitasi

Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach

Sakshi Indolia A. Goswami S. Mishra Pooja Asopa

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (4)

Sakshi Indolia

A. Goswami

S. Mishra

Pooja Asopa

Format Sitasi

APA MLA BibTeX

Indolia, S., Goswami, A., Mishra, S., Asopa, P. (2018). Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach. https://doi.org/10.1016/J.PROCS.2018.05.069

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.PROCS.2018.05.069

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 623×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.PROCS.2018.05.069
Akses: Open Access ✓