Deep Cognitive Networks: Enhance Deep Learning by Modeling Human Cognitive Mechanism - Couverture souple
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Synopsis
Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system.
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À propos de l?auteur
Yan Huang (PhD) is an associate professor at the Institute of Automation, Chinese Academy of Sciences (CASIA). His research interests include computer vision and deep cognitive networks. He has published more than 70 papers in leading international journals and conferences such as IEEE TPAMI and CVPR. He has obtained awards such as the Presidential Special Award of CAS, Excellent Doctoral Thesis of both CAS and CAAI, NVIDIA Pioneering Research Award, and Baidu Fellowship. He was selected as one of the Young Talents Project of China Association for Science and Technology and Beijing Outstanding Young Talents.
Liang Wang (PhD) is a professor at the Institute of Automation, Chinese Academy of Sciences (CASIA). His major research interests include machine learning, pattern recognition, and computer vision. He has widely published in highly ranked international journals, such as IEEE Transactions on Pattern Analysis and Machine Intelligence and the IEEE Transactions on Image Processing, and leading international conferences, such as CVPR, ICCV, and ECCV. He has served as an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, and PR. He is also an IEEE fellow and an IAPR fellow.
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Deep Cognitive Networks (eng)
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Deep Cognitive Networks : Enhance Deep Learning by Modeling Human Cognitive Mechanism
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Deep Cognitive Networks (Paperback)
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Springer Verlag, Singapore, Singapore, 2023
ISBN 10 : 9819902789
ISBN 13 : 9789819902781
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Paperback. Etat : new. Paperback. Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. Many researchers argue that one of the major reasons accounting for the performance gap is that deep learning models and the human cognitive system process visual information in very different ways.To mimic the performance gap, since 2014, there has been a trend to model various cognitive mechanisms from cognitive neuroscience, e.g., attention, memory, reasoning, and decision, based on deep learning models. This book unifies these new kinds of deep learning models and calls them deep cognitive networks, which model various human cognitive mechanisms based on deep learning models. As a result, various cognitive functions are implemented, e.g., selective extraction, knowledge reuse, and problem solving, for more effective information processing.This book first summarizes existing evidence of human cognitive mechanism modeling from cognitive psychology and proposes a general framework of deep cognitive networks that jointly considers multiple cognitive mechanisms. Then, it analyzes related works and focuses primarily but not exclusively, on the taxonomy of four key cognitive mechanisms (i.e., attention, memory, reasoning, and decision) surrounding deep cognitive networks. Finally, this book studies two representative cases of applying deep cognitive networks to the task of image-text matching and discusses important future directions. Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789819902781
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Deep Cognitive Networks : Enhance Deep Learning by Modeling Human Cognitive Mechanism
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Deep Cognitive Networks : Enhance Deep Learning by Modeling Human Cognitive Mechanism
Edité par
Springer, 2023
ISBN 10 : 9819902789
ISBN 13 : 9789819902781
Ancien ou d'occasion
Couverture souple
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Deep Cognitive Networks
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Springer Nature Singapore, Springer Nature Singapore Mär 2023, 2023
ISBN 10 : 9819902789
ISBN 13 : 9789819902781
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. Many researchers argue that one of the major reasons accounting for the performance gap is that deep learning models and the human cognitive system process visual information in very different ways.To mimic the performance gap, since 2014, there has been a trend to model various cognitive mechanisms from cognitive neuroscience, e.g., attention, memory, reasoning, and decision, based on deep learning models. This book unifies these new kinds of deep learning models and calls them deep cognitive networks, which model various human cognitive mechanisms based on deep learning models. As a result, various cognitive functions are implemented, e.g., selective extraction, knowledge reuse, and problem solving, for more effective information processing.This book first summarizes existing evidence of human cognitive mechanism modeling from cognitive psychology and proposes a general framework of deep cognitive networks that jointly considers multiple cognitive mechanisms. Then, it analyzes related works and focuses primarily but not exclusively, on the taxonomy of four key cognitive mechanisms (i.e., attention, memory, reasoning, and decision) surrounding deep cognitive networks. Finally, this book studies two representative cases of applying deep cognitive networks to the task of image-text matching and discusses important future directions. 72 pp. Englisch. N° de réf. du vendeur 9789819902781
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