Interactive Visualization of Deep Learning Models in an Immersive Environment

Hikaru Nagasaka, Motoya Izuhara
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引用次数: 2

Abstract

The development of deep learning (DL) models has been prevalent among software engineers. However, it is difficult for non-experts to analyze and understand their behavior. Hence, we propose an interactive visualization system of DL models in an immersive environment. Because an immersive environment offers unlimited displays and visualization of high-dimensional data, it enables a comprehensive analysis on data propagations through the layers, and compares the multiple performance metrics. In this research, we implemented a prototype system, demonstrated it to machine learning engineers, and discussed the future benefits of visualizing DL models in an immersive environment. Accordingly, our concept received positive feedback; however, we inferred that most of the engineers consider the visualization technology as a unique introduction to the immersive environment.
沉浸式环境中深度学习模型的交互式可视化
深度学习(DL)模型的开发在软件工程师中非常流行。然而,非专家很难分析和理解它们的行为。因此,我们提出了一个沉浸式环境中深度学习模型的交互式可视化系统。由于沉浸式环境提供了无限的高维数据显示和可视化,因此可以对数据在各层之间的传播进行全面分析,并比较多个性能指标。在这项研究中,我们实现了一个原型系统,向机器学习工程师展示了它,并讨论了在沉浸式环境中可视化DL模型的未来好处。因此,我们的理念得到了积极的反馈;然而,我们推断大多数工程师认为可视化技术是对沉浸式环境的独特介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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