Trends in deep learning methodologies : algorithms, applications, and systems
"Trends in deep learning methodologies [...] covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters el...
Guardat en:
| Autor principal: | |
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| Altres autors: | , , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
London ; San Diego (Calif.) ; Cambridge (Mass.) :
Academic Press : Elsevier
2020.
Paris : Cyberlibris |
| Matèries: | |
| Accés en línia: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780128232682.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Trends in deep learning methodologies, algorithms, applications, and systems, edited by Vincenzo Piuri, Sandeep Raj, Angelo Genovese, Rajshree Srivastava, 2021, London, Academic Press, Elsevier, 1 vol. (XVII-288 p.), Hybrid computational intelligence for pattern analysis and understanding series, 978-0-12-822226-3 |
Taula de continguts:
- 1. An introduction to deep learning applications in biometric recognition / Akash Dhiman ; Kanishk Gupta ; Deepak Kumar Sharma
- 2. Deep learning in big data and data mining / Deepak Kumar Sharma ; Bhanu Tokas ; Leo Adlakha
- 3. An overview of deep learning in big data, image, and signal processing in the modern digital age / Reinaldo Padilha França ; Ana Carolina Borges Monteiro et al
- 4. Predicting retweet class using deep learning / Amit Kumar Kushwaha ; Arpan Kumar Kar ; P. Vigneswara Ilavarasan
- 5. Role of the Internet of Things and deep learning for the growth of healthcare technology / Dinesh Bhatia ; S. Bagyaraj et al
- 6. Deep learning methodology proposal for the classification of erythrocytes and leukocytes / Ana Carolina Borges Monteiro ; Yuzo Iano et al
- 7. Dementia detection using the deep convolution neural network method / B. Janakiramaiah ; G. Kalyani
- 8. Deep similarity learning for disease prediction / Vagisha Gupta ; Shelly Sachdeva ; Neha Dohare
- 9. Changing the outlook of security and privacy with approaches to deep learning / Shweta Paliwal ; Vishal Bharti ; Amit Kumar Mishra
- 10. E-CART: an improved data stream mining approach / Pardeep Kumar
- 11. Deep learning-based detection and classification of adenocarcinoma cell nuclei / G. Kalyani ; B. Janakiramaiah
- 12. Segmentation and classification of hand symbol images using classifiers / Jatinder Kaur ; Nitin Mittal et al