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An Immersive Node-Link Visualization of Artificial Neural Networks for Machine Learning Experts

机译:用于机器学习专家人工神经网络的沉浸式节点链路可视化

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The black box problem of artificial neural networks (ANNs) is still a very relevant issue. When communicating basic concepts of ANNs, they are often depicted as node-link diagrams. Despite this being a straight forward way to visualize them, it is rarely used outside an educational context. However, we hypothesize that large-scale node-link diagrams of full ANNs could be useful even to machine learning experts. Hence, we present a visualization tool that depicts convolutional ANNs as node-link diagrams using immersive virtual reality. We applied our tool to a use-case in the field of machine learning research and adapted it to the specific challenges. Finally, we performed an expert review to evaluate the usefulness of our visualization. We found that our node-link visualization of ANNs was perceived as helpful in this professional context.
机译:人工神经网络(ANNS)的黑匣子问题仍然是一个非常相关的问题。在通信ANNS的基本概念时,它们通常被描述为节点链接图。尽管这是一种可视化的直接方式,但很少在教育背景之外使用。但是,我们假设完整ANNS的大型节点链接图甚至可以对机器学习专家有用。因此,我们提出了一种可视化工具,其将卷积子作为使用沉浸式虚拟现实的节点链路图。我们将工具应用于机器学习研究领域的用例,并将其调整为特定的挑战。最后,我们进行了专家审查以评估可视化的有用性。我们发现,我们的节点链接可视化在这个专业背景中被视为有用。

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