Conceptual understanding of convolutional neural network-a deep learning approach
Procedia computer science, 2018•Elsevier
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 …
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 …
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.
Elsevier