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.
CITATION STYLE
Queck, D., Wohlan, A., & Schreiber, A. (2022). Neural Network Visualization in Virtual Reality: A Use Case Analysis and Implementation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13305 LNCS, pp. 384–397). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-06424-1_28
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