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VELCRO: A visual-based programming tool for effortless deep learning model construction

  • Min Young Lim
  • , Seong Hee Park
  • , Soo Hyun Lee
  • , Jung Won Yoon
  • , Pyo Min Hong
  • , Hwajung Yoo
  • , Kon Woo Kwon
  • , Jongwook Jeong
  • , Youn Kyu Lee*
  • *Corresponding author for this work
    • Hongik University

    Research output: Contribution to journalJournal articlepeer-review

    Abstract

    The development and deployment of deep learning models are currently limited to expert developers due to the requirement for programming expertise, posing challenges for non-expert or inexperienced developers. In this paper, we present VELCRO, a visual-based programming tool that enables intuitive construction, modification, analysis, and generation of deep learning models for both expert and non-expert developers. VELCRO allows users to understand and modify complex architectures of deep learning models using architecture abstraction, and verify architectures through automated architecture validation. Finally, users can convert the user-configured architecture into deep learning code and deploy it in target environments.

    Original languageEnglish
    Article number101656
    JournalSoftwareX
    Volume26
    DOIs
    StatePublished - 2024.05

    Keywords

    • Architecture abstraction
    • Deep learning architecture
    • Visual-based programming tool
    • Visualization

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Data Science

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