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by Vincenzo Piuri, Sandeep Raj, Angelo Genovese, Rajshree Srivastava
Trends in Deep Learning Methodologies
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Title page
Table of Contents
Copyright
Contributors
Preface
Chapter 1. An introduction to deep learning applications in biometric recognition
Chapter 2. Deep learning in big data and data mining
Chapter 3. An overview of deep learning in big data, image, and signal processing in the modern digital age
Chapter 4. Predicting retweet class using deep learning
Chapter 5. Role of the Internet of Things and deep learning for the growth of healthcare technology
Chapter 6. Deep learning methodology proposal for the classification of erythrocytes and leukocytes
Chapter 7. Dementia detection using the deep convolution neural network method
Chapter 8. Deep similarity learning for disease prediction
Chapter 9. Changing the outlook of security and privacy with approaches to deep learning
Chapter 10. E-CART: An improved data stream mining approach
Chapter 11. Deep learning-based detection and classification of adenocarcinoma cell nuclei
Chapter 12. Segmentation and classification of hand symbol images using classifiers
Index
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Table of Contents
Trends in Deep Learning Methodologies
Algorithms, Applications, and Systems
Editors
Vincenzo Piuri
Sandeep Raj
Angelo Genovese
Rajshree Srivastava
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