2021年度 人工知能学会全国大会(第35回)

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国際セッション(Regular) » ER-2 Machine learning

[2N3-IS-2b] Machine learning (2/5)

2021年6月9日(水) 13:20 〜 15:00 N会場 (IS会場)

Chair: Eri Sato-Shimokawara (Tokyo Metropolitan University)

14:20 〜 14:40

[2N3-IS-2b-04] Survey of the VR environment for deep learning model development

〇Taisei Naraha1, Kouta Akomoto1, Ikuko Eguchi YAIRI1 (1. Sophia University)

キーワード:Virtual Reality, Deep Learning, Visualization

As deep learning research develops and models become larger and more complex, there are increasing concerns to deep learning about its' low ability of explanations to humans and it's blackbox characteristics. Model visualization research of DL has been attracting attention for a decade for a solution of this concern. VR interaction research between humans and models is a practical mean of the model visualization research which has great potential but is still in the early stages. The purpose of our study is to propose new methods for VR technology to contribute to the development of deep learning models by investigating and implementing the visualization technology of deep learning and VR research projects. In this paper, we also report our two experimental results. One is a web survey using a PC application and a demo movie VR goggles application, and the other is an evaluation experiment using VR goggles.

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