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Handbook of research on deep learnin...

Chowdhary, Chiranji Lal, (1975-)

Handbook of research on deep learning innovations and trends

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of research on deep learning innovations and trendsAboul Ella Hassanien, Ashraf Darwish, and Chiranji Lal Chowdhary, editors.
remainder title:	Research on deep learning innovations and trends
other author:	Hassanien, Aboul Ella,
Published:	Hershey, Pennsylvania :IGI Global,[2019]
Description:	1 online resource (xvii, 355 p.)
Subject:	Artificial intelligence
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7862-8
ISBN:	9781522578635 (e-book)

Handbook of research on deep learning innovations and trends
Handbook of research on deep learning innovations and trends[electronic resource] /Research on deep learning innovations and trendsAboul Ella Hassanien, Ashraf Darwish, and Chiranji Lal Chowdhary, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xvii, 355 p.)

Includes bibliographical references and index.

Section 1. Deep learning applications. Chapter 1. Detection of blood-related diseases using deep neural nets ; Chapter 2. Enhanced footsteps generation method for walking robots based on convolutional neural networks ; Chapter 3. CNN customizations with transfer learning for face recognition task ; Chapter 4. Application of deep learning in speech recognition ; Chapter 5. Sensation of deep learning in image processing applications ; Chapter 6. Transfer learning in 2.5D face image for occlusion presence and gender classification ; Chapter 7. Deep learning: architectures and applications ; Chapter 8. A survey on deep learning techniques used for quality process ; Chapter 9. Deep learning in early detection of Alzheimer's: a study -- Section 2. Advanced deep learning techniques. Chapter 10. Deep clustering ; Chapter 11. Deep reinforcement learning for optimization ; Chapter 12. A similarity-based object classification using deep neural networks ; Chapter 13. Cognitive deep learning: future direction in intelligent retrieval -- Section 3. Security in deep learning. Chapter 14. Malware classification and analysis using convolutional and recurrent neural network ; Chapter 15. Anomaly detection using deep learning with modular networks.

Restricted to subscribers or individual electronic text purchasers.

"This book explores the application of deep learning in various areas like computer vision, image processing, biometrics, pattern recognition and medical imaging, and other real-world applications"--Provided by publisher.

ISBN: 9781522578635 (e-book)Subjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: TA347.A78 / .H357 2019e

Dewey Class. No.: 621.36/78

Handbook of research on deep learning innovations and trends
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245 0 0 $a Handbook of research on deep learning innovations and trends $h [electronic resource] / $c Aboul Ella Hassanien, Ashraf Darwish, and Chiranji Lal Chowdhary, editors.
246 3 0 $a Research on deep learning innovations and trends
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2019]
300 $a 1 online resource (xvii, 355 p.)
504 $a Includes bibliographical references and index.
505 0 $a Section 1. Deep learning applications. Chapter 1. Detection of blood-related diseases using deep neural nets ; Chapter 2. Enhanced footsteps generation method for walking robots based on convolutional neural networks ; Chapter 3. CNN customizations with transfer learning for face recognition task ; Chapter 4. Application of deep learning in speech recognition ; Chapter 5. Sensation of deep learning in image processing applications ; Chapter 6. Transfer learning in 2.5D face image for occlusion presence and gender classification ; Chapter 7. Deep learning: architectures and applications ; Chapter 8. A survey on deep learning techniques used for quality process ; Chapter 9. Deep learning in early detection of Alzheimer's: a study -- Section 2. Advanced deep learning techniques. Chapter 10. Deep clustering ; Chapter 11. Deep reinforcement learning for optimization ; Chapter 12. A similarity-based object classification using deep neural networks ; Chapter 13. Cognitive deep learning: future direction in intelligent retrieval -- Section 3. Security in deep learning. Chapter 14. Malware classification and analysis using convolutional and recurrent neural network ; Chapter 15. Anomaly detection using deep learning with modular networks.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the application of deep learning in various areas like computer vision, image processing, biometrics, pattern recognition and medical imaging, and other real-world applications"--Provided by publisher.
650 0 $a Artificial intelligence $3 252958
650 0 $a Machine learning $v Congresses. $3 384498
650 0 $a Neural networks (Computer science) $3 181982
700 1 $a Hassanien, Aboul Ella, $e editor. $3 777700
700 1 $a Darwish, Ashraf, $e editor. $3 843806
700 1 $a Chowdhary, Chiranji Lal, $d 1975- $e editor. $3 843807
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