Data Analyst Platform Using Open Source Based Deep Learning Engine

Ahyoung Kim, Junwoo Lee
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引用次数: 1

Abstract

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.
使用开源深度学习引擎的数据分析平台
在本文中,我们提出了一个使用开源深度学习引擎分析数据的平台。随着对深度学习技术需求的增长,需要研究一种能够处理和分析各种学习数据的深度学习平台。我们使用分布式TensorFlow和TensorFlow服务来提供一个深度学习平台来分析各种数据。为了处理大容量的学习数据,它对平台可以处理的数据进行大小和类型的预处理,并提供根据各节点的处理能力适当分配学习数据的功能。在未来,我们将基于平台设计方法实现一个深度学习平台,然后我们将利用实际的大容量学习数据开发一个深度学习模型,并优化平台功能。
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