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http://dx.doi.org/10.14400/JDC.2018.16.5.221

Study on Development of Graphic User Interface for TensorFlow Based on Artificial Intelligence  

Song, Sang Gun (Department of Health Policy and Management, College of Social science, Inje University)
Kang, Sung Hong (Department of Health Policy and Management, College of Social science, Inje University)
Choi, Youn Hee (Department of Medical Administration, College of Health, Dong-Eui Institute of Technology)
Sim, Eun Kyung (Department of Beauty Care, College of Health, Social Welfare & Education, Tongmyong University)
Lee, Jeong- Wook (Department of Health public Administration, College of Health and Social Welfare, Silla university)
Park, Jong-Ho (Dongsan Medical Center, Kyeimyoung University)
Jung, Yeong In (College of Medicine, Pusan National University)
Choi, Byung Kwan (College of Medicine, Pusan National University)
Publication Information
Journal of Digital Convergence / v.16, no.5, 2018 , pp. 221-229 More about this Journal
Abstract
Machine learning and artificial intelligence are core technologies for the 4th industrial revolution. However, it is difficult for the general public to get familiar with those technologies because most people lack programming ability. Thus, we developed a Graphic User Interface(GUI) to overcome this obstacle. We adopted TensorFlow and used .Net of Microsoft for the develop. With this new GUI, users can manage data, apply algorithms, and run machine learning without coding ability. We hope that this development will be used as a basis for developing artificial intelligence in various fields.
Keywords
Machine learning; Artificial intelligence; Graphic User Interface; Algorithm; TensorFlow;
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