상세정보
학술대회
DL-Dashboard: User-friendly Deep Learning Model Development Environment
- 발행일
- 201903
- 출처
- International Conference on Intelligent User Interfaces (IUI) 2019, pp.73-74
- 협약과제
- 18HS2700, 대규모 딥러닝 고속 처리를 위한 HPC 시스템 개발, 최완
- 초록
- In recent years, deep learning has contributed to a big step forward in artificial intelligence, so that deep learning models have been created extensively in a variety of areas. However, development of deep learning model requires high implementation skills as well as domain knowledge. Additionally, finding the best model is a process of a lot of trial-and-error for developers. To alleviate the developers' difficulties, we have developed a deep learning model development environment called DL-Dashboard that allows developers can create new models easily and quickly by drag-and-dropping built-in layer component and can train the models by selecting one of the suggested training options without much deep learning experience. We explain design principles and implementation of DL-Dashboard system and show how developers can create and train models user-friendly on it.
- KSP 제안 키워드
- BEST Model, Built-in, Dashboard system, Development environment, Drag-and-dropping, Learning Experience, New model, Trial-and-error, User-friendly, artificial intelligence, deep learning(DL)