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Conference Paper
DL-dashboard
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- Authors
- Yoomi Park, Eun-Ji Lim, Shinyoung Ahn, Wan Choi, Taewoo Kim
- Issue Date
- 2019-03
- Citation
- International Conference on Intelligent User Interfaces (IUI) 2019, pp.73-74
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- 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)