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학술대회 Data Analysis Platform using Open Source based Deep Learning Engine
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저자
김아영, 이준우
발행일
201801
출처
International Conference on Platform Technology and Service (PlatCon) 2018, pp.6-10
DOI
https://dx.doi.org/10.1109/PlatCon.2018.8472770
협약과제
18HS3100, 디지털콘텐츠 In-House R&D, 박수명
초록
In this paper, we propose a platform for analyzing data using open source deep learning engine. As the demand for deep learning technology grows, research is needed on a deep learning platform that can process and analyze various learning data. We use a distributed TensorFlow and a TensorFlow serving to provide a deep learning platform for analyzing various data. In order to process large capacity learning data, it preprocesses data in size and type that can be processed by the platform, and provides the function to distribute learning data appropriately according to the processing capability of each node. In the future, we will implement a deep learning platform based on the platform design method, and then we will develop a deep learning model using actual large capacity learning data, and optimize the platform function.
KSP 제안 키워드
Data Analysis Platform, Design method, Large capacity, Learning data, Learning model, Learning platform, Open source, Platform Design, Processing capability, analyzing data, capacity learning