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

  • Lim Min Young
  • Park Seong Hee
  • Lee Soo-Hyun
  • Yoon Jung Won
  • Hong Pyo Min
  • ... 권건우
  • 외 3명
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초록

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.

키워드

VisualizationDeep learning architectureVisual-based programming toolArchitecture abstraction
제목
VELCRO: A visual-based programming tool for effortless deep learning model construction
저자
Lim Min YoungPark Seong HeeLee Soo-HyunYoon Jung WonHong Pyo MinYoo Hwajung권건우Jeong Jongwook이윤규
DOI
10.1016/j.softx.2024.101656
발행일
2024-05
유형
Article
저널명
SoftwareX
26