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Deep Cognitive Networks : Enhance Deep Learning by Modeling Human Cognitive Mechanism / by Yan Huang, Liang Wang
(SpringerBriefs in Computer Science. ISSN:21915776)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2023
大きさ	X, 62 p. 1 illus : online resource
著者標目	*Huang, Yan author Wang, Liang author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002610	Computer Scinece R0 2005-6,2022-3				9789819902798

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一般注記	Chapter 1. Introduction -- Chapter 2. General Framework -- Chapter 3. Attention-based DCNs -- Chapter 4. Memory-based DCNs -- Chapter 5. Reasoning-based DCNs -- Chapter 6. Decision-based DCNs -- Chapter 7. Conclusions and Future Trends. 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 HTTP:URL=https://doi.org/10.1007/978-981-99-0279-8
件　名	LCSH:Computer vision LCSH:Image processing LCSH:Image processing -- Digital techniques 全ての件名で検索 LCSH:Artificial intelligence FREE:Computer Vision FREE:Image Processing FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Artificial Intelligence
分　類	LCC:TA1634 DC23:006.37
書誌ID	EB00001998
ISBN	9789819902798