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Year of publication
Subject
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AlexNet 3 Neural networks 2 Neuronale Netze 2 Artificial intelligence 1 Consumer behaviour 1 Deep convolutional neural networks 1 Driving styles 1 Fashion 1 Image processing 1 Konsumentenverhalten 1 Kraftfahrzeug 1 Künstliche Intelligenz 1 LeNet 1 Learning 1 Learning organization 1 Learning process 1 Lernen 1 Lernende Organisation 1 Lernprozess 1 Mode 1 Motor vehicle 1 Personalisierung 1 Personalization 1 Regional cluster 1 Regionales Cluster 1 ResNet 1 SNN 1 Telematics car driving data 1 Theorie 1 Theory 1 Transfer learning 1 Unsupervised learning 1 VGG16 1 VGGNet 1 convolutional neural network 1 image recommendation 1 significant nearest neighbour 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 3
Author
All
Dhanalakshmi, R. 1 Fischer, Manfred M. 1 Rajagopalan, Narendran 1 Valarmathi, P. 1 Wüthrich, Mario V. 1 Zhu, Rui 1
Published in...
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Annals of actuarial science : publ. by the Institute of Actuaries and the Faculty of Actuaries 1 International journal of business innovation and research : IJBIR 1 Working papers in regional science 1
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
Cover Image
Convolutional neural networks: key components and architectures
Fischer, Manfred M. - 2025
LeNet, AlexNet, VGGNet, and ResNet, have set benchmarks in image recognition and inspired advancements in deep learning. The …
Persistent link: https://www.econbiz.de/10015193130
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Cover Image
Effective fashion labelling via image-based recommendation with deep learning
Valarmathi, P.; Dhanalakshmi, R.; Rajagopalan, Narendran - In: International journal of business innovation and … 32 (2023) 1, pp. 47-59
Persistent link: https://www.econbiz.de/10014438452
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Cover Image
Clustering driving styles via image processing
Zhu, Rui; Wüthrich, Mario V. - In: Annals of actuarial science : publ. by the Institute of … 15 (2021) 2, pp. 276-290
Persistent link: https://www.econbiz.de/10012593581
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