Visualizing Deep Neural Networks in Virtual Reality
In this paper, we improve upon existing Virtual Reality (VR) research with regard to the pedagogical use of VR for explaining Deep Neural Networks. We achieved a comprehensive understanding in five steps: a review of previous work in the field, a thorough characterization of existing issues, the development and programming of a novel VR-based software tailored for various ANN models, a detailed evaluation of this system, and a critical discussion on the future outlook and significance of this research. The results demonstrate the VR system’s effectiveness in making complex AI systems more accessible to non-experts, thereby contributing to the field of explainable AI (XAI).