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Visualizing Convolutional Neural Networks with Virtual Reality

Meissler, Nadine and Wohlan, Annika and Hochgeschwender, Nico (2019) Visualizing Convolutional Neural Networks with Virtual Reality. VRST 2019, 12. Dez. - 15. Dez. 2019, Sydney. doi: 10.1145/3359996.3364817. ISBN 978-1-4503-7001-1.

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Software systems and components are increasingly based on machine learning methods, such as Convolutional Neural Networks (CNNs). Thus, there is a growing need for common programmers and machine learning newcomers to understand the general functioning of these algorithms. However, as neural networks are complex in nature, novel presentation means are required to enable rapid access to the functionality. For that purpose, this paper examines how CNNs can be visualized in Virtual Reality. A first exploratory study has confirmed that our visualization approach is both intuitive to use and conductive to learning.

Item URL in elib:https://elib.dlr.de/133065/
Document Type:Conference or Workshop Item (Poster)
Title:Visualizing Convolutional Neural Networks with Virtual Reality
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Meissler, NadineDeutsches Zentrum für Luft- und RaumfahrtUNSPECIFIED
Wohlan, AnnikaDeutsches Zentrum für Luft- und Raumfahrthttps://orcid.org/0000-0002-5635-2414
Hochgeschwender, NicoNico.Hochgeschwender (at) dlr.dehttps://orcid.org/0000-0003-1306-7880
Date:November 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1145/3359996.3364817
Keywords:neural networks, visualization, virtual reality, knowledge learning
Event Title:VRST 2019
Event Location:Sydney
Event Type:international Conference
Event Dates:12. Dez. - 15. Dez. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Vorhaben SISTEC (old)
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > Distributed Systems and Component Software
Institut of Simulation and Software Technology
Deposited By: Wohlan, Annika
Deposited On:06 Jan 2020 09:18
Last Modified:06 Jan 2020 09:18

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