卷积神经网络的虚拟现实可视化

Annika Wohlan, N. Hochgeschwender, Nadine Meissler
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引用次数: 3

摘要

软件系统和组件越来越多地基于机器学习方法,如卷积神经网络(cnn)。因此,越来越多的普通程序员和机器学习新手需要了解这些算法的一般功能。然而,由于神经网络本质上是复杂的,因此需要新颖的表示方法来实现对其功能的快速访问。为此,本文探讨了如何在虚拟现实中实现cnn的可视化。第一项探索性研究证实,我们的可视化方法既直观易用,又有助于学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing Convolutional Neural Networks with Virtual Reality
Software systems and components are increasingly based on machine learning methods, such as Convolutional Neural Networks (CNNs). Thus, there is a growing need for common programmers and machine learning newcomers to understand the general functioning of these algorithms. However, as neural networks are complex in nature, novel presentation means are required to enable rapid access to the functionality. For that purpose, this paper examines how CNNs can be visualized in Virtual Reality. A first exploratory study has confirmed that our visualization approach is both intuitive to use and conductive to learning.
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