Deep Learning in Visual Computing and Signal Processing. (19th February 2017)

• Record Type: Journal Article
• Authors: Xie, Danfeng; Zhang, Lei; Bai, Li
• Other Names: Morabito Francesco Carlo Academic Editor.
• Is Part Of: Applied computational intelligence and soft computing. Volume 2017(2017)
• Publication Date: 2017-02-19
• Subjects: Computational intelligence -- Periodicals; Soft computing -- Periodicals; 006.305
• DOI: 10.1155/2017/1320780
• Languages: English
• ISSNs: 1687-9724

Abstract

Abstract : Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from input data. Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. In this study, we not only review typical deep learning algorithms in computer vision and signal processing but also provide detailed information on how to apply deep learning to specific areas such as road crack detection, fault diagnosis, and human activity detection. Besides, this study also discusses the challenges of designing and training deep neural networks.