標(biāo)題: Titlebook: Multi-faceted Deep Learning; Models and Data Jenny Benois-Pineau,Akka Zemmari Book 2021 Springer Nature Switzerland AG 2021 Artificial Inte [打印本頁] 作者: DUCT 時間: 2025-3-21 18:35
書目名稱Multi-faceted Deep Learning影響因子(影響力)
書目名稱Multi-faceted Deep Learning影響因子(影響力)學(xué)科排名
書目名稱Multi-faceted Deep Learning網(wǎng)絡(luò)公開度
書目名稱Multi-faceted Deep Learning網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Multi-faceted Deep Learning被引頻次
書目名稱Multi-faceted Deep Learning被引頻次學(xué)科排名
書目名稱Multi-faceted Deep Learning年度引用
書目名稱Multi-faceted Deep Learning年度引用學(xué)科排名
書目名稱Multi-faceted Deep Learning讀者反饋
書目名稱Multi-faceted Deep Learning讀者反饋學(xué)科排名
作者: Limerick 時間: 2025-3-21 23:10
Book 2021on with a low inter-class variability is a difficult problem for any classification tasks.? This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks.?.Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Visio作者: 群居動物 時間: 2025-3-22 01:52
http://image.papertrans.cn/n/image/640073.jpg作者: incredulity 時間: 2025-3-22 07:04
https://doi.org/10.1007/978-3-030-74478-6Artificial Intelligence; Deep Learning; Deep Neural Networks; low supervision; explainability of Deep l作者: enfeeble 時間: 2025-3-22 10:44
978-3-030-74480-9Springer Nature Switzerland AG 2021作者: onlooker 時間: 2025-3-22 15:02
Jenny Benois-Pineau,Akka ZemmariPresents high priority problems in the field of Deep Learning, Multimedia, Visual Data Representation, Interpretation and Coding.Covers low supervision and metric learning.Discusses cross-media and cr作者: 溺愛 時間: 2025-3-22 17:06
supervision and metric learning.Discusses cross-media and cr.This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems.?The fundamentals of? the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first su作者: minaret 時間: 2025-3-22 22:10
Book 2021the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers? a comprehensive preamble for further? problem–oriented chapters.?.The most interesting and open problems of machine learning in the framework of? Deep Learning are discussed作者: 鈍劍 時間: 2025-3-23 04:34
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