Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing hete...

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Bibliographic Details
Other Authors: Sumithra, M. G. (Editor), Iwendi, Celestine (Editor), Kumar Dhanaraj, Rajesh (Editor), Merline Manoharan, Anto (Editor)
Format: Electronic eBook
Language:English
Published: Berlin ; Boston De Gruyter [2022]
Series:De Gruyter series on smart computing applications volume 7
Subjects:
Links:https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584?locatt=mode:legacy
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
https://doi.org/10.1515/9783110750584
Summary:Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights
Physical Description:1 Online-Ressource (IX, 199 Seiten)
ISBN:9783110750584
DOI:10.1515/9783110750584