Buch, Englisch, Band 20, 206 Seiten, Format (B × H): 156 mm x 234 mm
Methods and Applications
Buch, Englisch, Band 20, 206 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Foundations and Trends® in Signal Processing
ISBN: 978-1-60198-814-0
Verlag: Now Publishers
Deep Learning: Methods and Applications 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 benefitting from recent research efforts, including natural language and text processing, information retrieval, and multimodal information processing empowered by multitask deep learning.
Deep Learning: Methods and Applications is a timely and important book for researchers and students with an interest in deep learning methodology and its applications in signal and information processing.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Endorsement
1. Introduction
2. Some Historical Context of Deep Learning
3. Three Classes of Deep Learning Networks
4. Deep Autoencoders - Unsupervised Learning
5. Pre-Trained Deep Neural Networks - A Hybrid
6. Deep Stacking Networks and Variants - Supervised Learning
7. Selected Applications in Speech and Audio Processing
8. Selected Applications in Language Modeling and Natural Language Processing
9. Selected Applications in Information Retrieval
10. Selected Applications in Object Recognition and Computer Vision
11. Selected Applications in Multimodal and Multi-task Learning
12. Conclusion
References
