TY - JOUR A2 - Morabito, Francesco Carlo AU - Xie, Danfeng AU - Zhang, Lei AU - Bai, Li PY - 2017 DA - 2017/02/19 TI - Deep Learning in Visual Computing and Signal Processing SP - 1320780 VL - 2017 AB - 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. SN - 1687-9724 UR - https://doi.org/10.1155/2017/1320780 DO - 10.1155/2017/1320780 JF - Applied Computational Intelligence and Soft Computing PB - Hindawi KW - ER -