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Deep Learning: Methods and Applications



Author(s):

Source:
    Journal:Foundations and Trends® in Signal Processing
    ISSN Print:1932-8346,  ISSN Online:1932-8354
    Publisher:Now Publishers
    Volume 7 Number 3-4,
Pages: 191(197-387)
DOI: 10.1561/2000000039
Keywords: Deep learning;Machine learning;Artificial intelligence;Neural networks;Deep neural networks;Deep stacking networks;Autoencoders;Supervised learning;Unsupervised learning;Hybrid deep networks;Object recognition;Computer vision;Natural language processing;Language models;Multi-task learning;Multi-modal processing

Abstract:

This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision; and (3) the application areas that have the potential to be impacted significantly by deep learning and that have been experiencing research growth, including natural language and text processing, information retrieval, and multimodal information processing empowered by multi-task deep learning.