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Handbook of research on deep learnin...

Hassanien, Aboul Ella,

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Handbook of research on deep learning innovations and trends

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of research on deep learning innovations and trends/ Aboul Ella Hassanien, Ashraf Darwish, and Chiranji Lal Chowdhary, editors.
其他題名:	Research on deep learning innovations and trends
其他作者:	Hassanien, Aboul Ella,
出版者:	Hershey, Pennsylvania :IGI Global, : [2019],
面頁冊數:	1 online resource (xvii, 355 p.)
內容註:	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.
標題:	Artificial intelligence - Handbooks, manuals, etc. -
電子資源:	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:

3231413
Artificial intelligence
--Handbooks, manuals, etc.

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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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.
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700 1 $a Chowdhary, Chiranji Lal, $d 1975- $e editor. $3 3395852
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