Bock, Marcel and Schreiber, Andreas (2018) Visualization of neural networks in virtual reality using Unreal Engine. In: ACM Symposium on Virtual Reality Software and Technology, Proceedings, VRST, 132:1-132:2. ACM. 24th ACM Symposium on Virtual Reality Software and Technology, 2018-11-28 - 2018-12-01, Tokyo, Japan. doi: 10.1145/3281505.3281605. ISBN 978-1-4503-6086-9.
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Official URL: https://dl.acm.org/citation.cfm?id=3281605
Abstract
Many applications today use deep learning to provide intelligent behavior. To understand and explain how deep learning models come to certain decisions can be hard or completely in-transparent. We propose a visualization of convolutional neural networks in Virtual Reality (VR). The interactive application shows the internal processes and allows to inspect the results. Large networks can be visualized in real-time with special rendering techniques.
| Item URL in elib: | https://elib.dlr.de/126108/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
| Title: | Visualization of neural networks in virtual reality using Unreal Engine | ||||||||||||
| Authors: |
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| Date: | 28 November 2018 | ||||||||||||
| Journal or Publication Title: | ACM Symposium on Virtual Reality Software and Technology, Proceedings, VRST | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | Yes | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| DOI: | 10.1145/3281505.3281605 | ||||||||||||
| Page Range: | 132:1-132:2 | ||||||||||||
| Publisher: | ACM | ||||||||||||
| Series Name: | VRST '18 | ||||||||||||
| ISBN: | 978-1-4503-6086-9 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | machine learning, explainable ai, visualization, 3D, virtual reality | ||||||||||||
| Event Title: | 24th ACM Symposium on Virtual Reality Software and Technology | ||||||||||||
| Event Location: | Tokyo, Japan | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 28 November 2018 | ||||||||||||
| Event End Date: | 1 December 2018 | ||||||||||||
| Organizer: | Tokyo University | ||||||||||||
| 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 Institut of Simulation and Software Technology > Distributed Systems and Component Software | ||||||||||||
| Deposited By: | Schreiber, Andreas | ||||||||||||
| Deposited On: | 22 Jan 2019 15:08 | ||||||||||||
| Last Modified: | 24 Apr 2024 20:30 |
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