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exploRNN: Understanding Recurrent Neural Networks through Visual Exploration. (arXiv:2012.06326v3 [cs.LG] UPDATED)
June 23, 2022, 1:11 a.m. | Alex Bäuerle, Patrick Albus, Raphael Störk, Tina Seufert, Timo Ropinski
cs.LG updates on arXiv.org arxiv.org
Due to the success of deep learning (DL) and its growing job market, students
and researchers from many areas are interested in learning about DL
technologies. Visualization has proven to be of great help during this learning
process. While most current educational visualizations are targeted towards one
specific architecture or use case, recurrent neural networks (RNNs), which are
capable of processing sequential data, are not covered yet. This is despite the
fact that tasks on sequential data, such as text …
More from arxiv.org / cs.LG updates on arXiv.org
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