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|0 (IdRef)156856158
|1 http://www.idref.fr/156856158/id
|a Piuri, Vincenzo
|d (1960-....).
|4 pbd.
|e Directeur de la publication
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| 245 |
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|a Trends in deep learning methodologies :
|b algorithms, applications, and systems
|c edited by Vincenzo Piuri, Sandeep Raj, Angelo Genovese, Rajshree Srivastava.
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| 264 |
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1 |
|a London ;
|a San Diego (Calif.) ;
|a Cambridge (Mass.) :
|b Academic Press :
|b Elsevier.
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| 264 |
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2 |
|a Paris :
|b Cyberlibris,
|c 2020.
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|b txt
|2 rdacontent
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|2 rdamedia
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|a Couverture (https://static2.cyberlibris.com/books_upload/136pix/9780128232682.jpg).
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| 504 |
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|a Réf. bibliographiques en fin de chapitres. Index.
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| 506 |
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|a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement
|e Cyberlibris
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| 520 |
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|a "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 elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more
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| 559 |
2 |
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|b 1. An introduction to deep learning applications in biometric recognition / Akash Dhiman ; Kanishk Gupta ; Deepak Kumar Sharma
|b 2. Deep learning in big data and data mining / Deepak Kumar Sharma ; Bhanu Tokas ; Leo Adlakha
|b 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
|b 4. Predicting retweet class using deep learning / Amit Kumar Kushwaha ; Arpan Kumar Kar ; P. Vigneswara Ilavarasan
|b 5. Role of the Internet of Things and deep learning for the growth of healthcare technology / Dinesh Bhatia ; S. Bagyaraj et al
|b 6. Deep learning methodology proposal for the classification of erythrocytes and leukocytes / Ana Carolina Borges Monteiro ; Yuzo Iano et al
|b 7. Dementia detection using the deep convolution neural network method / B. Janakiramaiah ; G. Kalyani
|b 8. Deep similarity learning for disease prediction / Vagisha Gupta ; Shelly Sachdeva ; Neha Dohare
|b 9. Changing the outlook of security and privacy with approaches to deep learning / Shweta Paliwal ; Vishal Bharti ; Amit Kumar Mishra
|b 10. E-CART: an improved data stream mining approach / Pardeep Kumar
|b 11. Deep learning-based detection and classification of adenocarcinoma cell nuclei / G. Kalyani ; B. Janakiramaiah
|b 12. Segmentation and classification of hand symbol images using classifiers / Jatinder Kaur ; Nitin Mittal et al
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| 650 |
|
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|0 (IdRef)027234657
|1 http://www.idref.fr/027234657/id
|a Traitement d'images.
|2 ram
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| 650 |
|
7 |
|0 (IdRef)027253287
|1 http://www.idref.fr/027253287/id
|a Traitement du signal.
|2 ram
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| 650 |
|
7 |
|0 (IdRef)027411125
|1 http://www.idref.fr/027411125/id
|a Santé.
|2 ram
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| 650 |
|
7 |
|0 (IdRef)029607728
|1 http://www.idref.fr/029607728/id
|a Intelligence artificielle en médecine.
|2 ram
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| 650 |
|
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|0 (IdRef)223540633
|1 http://www.idref.fr/223540633/id
|a Apprentissage profond.
|2 ram
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| 651 |
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|a Deep learning.
|2 ram
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| 700 |
1 |
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|0 (IdRef)254104215
|1 http://www.idref.fr/254104215/id
|a Srivastava, Rajshree
|d (19..-....).
|4 pbd.
|e Directeur de la publication
|
| 700 |
1 |
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|0 (IdRef)27057011X
|1 http://www.idref.fr/27057011X/id
|a Raj, Sandeep
|d (19..-....).
|4 pbd.
|e Directeur de la publication
|
| 700 |
1 |
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|0 (IdRef)270571523
|1 http://www.idref.fr/270571523/id
|a Genovese, Angelo
|d (1985-....).
|4 pbd.
|e Directeur de la publication
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| 856 |
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