Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications
- 3h 34m
- Anto Merline Manoharan, Celestine Iwendi, M.G. Sumithra, Rajesh Kumar Dhanaraj
- De Gruyter Inc
- 2023
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.
About the Author
M.G. Sumithra and A. M. Manoharan, KPR Institute; R.K. Dhanaraj, Galgotias University, India; C. Iwendi, Bangor College, China.
In this Book
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The Learning of Deep Learning: Overview, Methods, and Applications
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Foundation of Cognitive Computing
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Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision
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A Study of Voice Recognition System using Deep Learning Techniques
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Building Machine Learning–Based Prediction System for Critical Diseases
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An Overview of Internet of Things and Machine Learning for Smart Healthcare
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Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being
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Healthcare Data Analysis using Deep Learning Paradigm
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Cognitive Authentication for Smart Healthcare System
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Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images
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A Novel Deep Belief Neural Network Model for Abstractive Text Summarization
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De Gruyter Series Smart Computing Applications
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