| 书目名称 | Deep Cognitive Networks | | 副标题 | Enhance Deep Learnin | | 编辑 | Yan Huang,Liang Wang | | 视频video | | | 概述 | Introduces advances in deep cognitive networks, which model human cognitive mechanisms based on deep learning models.Proposes a general framework of deep cognitive networks based on existing evidence | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | .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 cognitiv | | 出版日期 | Book 2023 | | 关键词 | deep cognitive networks; computer vision; attention modeling; memory modeling; reasoning modeling; decisi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-0279-8 | | isbn_softcover | 978-981-99-0278-1 | | isbn_ebook | 978-981-99-0279-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023 |
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发表于 2025-3-21 16:24:11
