Queck, Dirk und Wohlan, Annika und Schreiber, Andreas (2022) Neural Network Visualization in Virtual Reality: A Use Case Analysis and Implementation. Lecture Notes in Computer Science, 13305, Seiten 384-397. Springer. doi: 10.1007/978-3-031-06424-1_28. ISSN 0302-9743.
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Offizielle URL: https://link.springer.com/chapter/10.1007/978-3-031-06424-1_28
Kurzfassung
Software systems and components increasingly rely on machine learning methods such as Artificial Neural Networks (ANNs) to provide intelligent functionality. Therefore, software developers and machine learning users should have a basic understanding of such methods. However, since ANNs are complex and thus challenging to grasp, novel visualization approaches can contribute to a better comprehension. We conducted an online survey to identify use cases and requirements for visualizing ANNs. Based on our results we designed and implemented an ANN visualization in virtual reality (VR) specifically targeted at machine learning users. Our approach is particularly suitable for teaching purposes and machine learning novices or non-experts who want to get an impression of the general functionality of neural networks.
elib-URL des Eintrags: | https://elib.dlr.de/186951/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Neural Network Visualization in Virtual Reality: A Use Case Analysis and Implementation | ||||||||||||||||
Autoren: |
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Datum: | 16 Juni 2022 | ||||||||||||||||
Erschienen in: | Lecture Notes in Computer Science | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
Band: | 13305 | ||||||||||||||||
DOI: | 10.1007/978-3-031-06424-1_28 | ||||||||||||||||
Seitenbereich: | Seiten 384-397 | ||||||||||||||||
Verlag: | Springer | ||||||||||||||||
Name der Reihe: | Human Interface and the Management of Information: Visual and Information Design. HCII 2022. | ||||||||||||||||
ISSN: | 0302-9743 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Virtual Reality, Visualization, Neural networks | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Aufgaben SISTEC | ||||||||||||||||
Standort: | Köln-Porz | ||||||||||||||||
Institute & Einrichtungen: | Institut für Softwaretechnologie > Intelligente und verteilte Systeme Institut für Softwaretechnologie | ||||||||||||||||
Hinterlegt von: | Schreiber, Andreas | ||||||||||||||||
Hinterlegt am: | 11 Aug 2022 10:25 | ||||||||||||||||
Letzte Änderung: | 11 Aug 2022 10:25 |
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