License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.PLATEAU.2019.7
URN: urn:nbn:de:0030-drops-119613
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/11961/
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Zhao, Chunqi ; Fukusato, Tsukasa ; Kato, Jun ; Igarashi, Takeo

Live Programming Environment for Deep Learning with Instant and Editable Neural Network Visualization

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OASIcs-PLATEAU-2019-7.pdf (0.5 MB)

Abstract

Artificial intelligence (AI) such as deep learning has achieved significant success in a variety of application domains. Several visualization techniques have been proposed for understanding the overall behavior of the neural network defined by deep learning code. However, they show visualization only after the code or network definition is written and it remains complicated and unfriendly for newbies to build deep neural network models on a code editor. In this paper, to help user better understand the behavior of networks, we augment a code editor with instant and editable visualization of network model, inspired by live programming which provides continuous feedback to the programmer.

BibTeX - Entry

@InProceedings{zhao_et_al:OASIcs:2020:11961,
  author =	{Chunqi Zhao and Tsukasa Fukusato and Jun Kato and Takeo Igarashi},
  title =	{{Live Programming Environment for Deep Learning with Instant and Editable Neural Network Visualization}},
  booktitle =	{10th Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU 2019)},
  pages =	{7:1--7:5},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-135-1},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{76},
  editor =	{Sarah Chasins and Elena L. Glassman and Joshua Sunshine},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/11961},
  URN =		{urn:nbn:de:0030-drops-119613},
  doi =		{10.4230/OASIcs.PLATEAU.2019.7},
  annote =	{Keywords: Neural network visualization, Live programming, Deep learning}
}

Keywords: Neural network visualization, Live programming, Deep learning
Collection: 10th Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU 2019)
Issue Date: 2020
Date of publication: 30.03.2020

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