Deep Learning in Visual Computing and Signal Processing

Autor:	Danfeng Xie, Lei Zhang, Li Bai
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Electronic computers. Computer science QA75.5-76.95
Zdroj:	Applied Computational Intelligence and Soft Computing, Vol 2017 (2017)
Druh dokumentu:	article
ISSN:	1687-9724 1687-9732
DOI:	10.1155/2017/1320780
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b1a00e0aefbc4653adb1f4973b59e62e Zobrazit plný text záznamu Plný text View record in DOAJ