高技术通讯2017，Vol.27Issue(1)：27-37,11.DOI:10.3772/j.issn.1002-0470.2017.01.004
大数据下的深度学习研究
The study of deep learning under big data
摘要
Abstract
The concepts of big data and deep learning (a subfield of machine learning) were given, and the importance of deep learning in acquiring valuable information from big data was interpreted.The deep learning framework for concurrent computation using graphics processing unit was described, and its big convolutional neural network (CNN), big deep belief network (DBN) and big recurrent neural network (RNN) were emphatically introduced.The features of big data in volume, variety and velocity were analyzed, and the methods for deep learning under large scale data, variable data and high rate data were introduced.The future development of the research on deep learning under big data was forecasted, and the possibility that the technology of fusing big data and deep learning will make an important breakthrough in the fields such as computer vision and machine intelligence was pointed out.关键词
大数据/深度学习/卷积神经网络(CNN)/深度置信网络(DBN)/递归神经网络(RNN)Key words
big data/deep learning/convolutional neural network (CNN)/deep belief network(DBN)/recurrent neural network (RNN)引用本文复制引用
王金甲,陈浩,刘青玉..大数据下的深度学习研究[J].高技术通讯,2017,27(1):27-37,11.基金项目
国家自然科学基金(61273019,61473339),中国博士后科学基金(2014M561202),河北省博士后专项(B2014010005)和首批"河北省青年拔尖人才"([1013]17)资助项目. （61273019,61473339）
