elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Visualization of neural networks in virtual reality using Unreal Engine

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, 28. Nov. - 01 Dez. 2018, Tokyo, Japan. DOI: 10.1145/3281505.3281605 ISBN 978-1-4503-6086-9

[img] PDF - Registered users only
1MB

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/
Document Type:Conference or Workshop Item (Poster)
Title:Visualization of neural networks in virtual reality using Unreal Engine
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bock, MarcelMarcel.Bock (at) dlr.deUNSPECIFIED
Schreiber, AndreasAndreas.Schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649
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 Dates:28. Nov. - 01 Dez. 2018
Organizer:Tokyo University
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
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:22 Jan 2019 15:08

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.