Abstract：Deep learing is an active research area in machine learning community. Its main idea is to discover high-level abstract
concepts in original datasets with huge computational power of the age of big data, by increasing the number of layers of the learners,
so as to increase the size of channels and the quantity of parameters. It becomes a significant information source for decision support
of application domains. We explore the methods of applying deep learning technologies in the data analysis tasks of information
systems by presenting the main principles and implemetation details of two deep learning models, convolutionan neural network and
stacked auto-encoders in emphasis, their application cases in the data analysis of information system, as well as the analysis on their
application value.
林伟声. 深度学习技术在信息系统数据分析中的应用[J]. 电脑与电信, 2017, 1(6): 51-53.
LinWeisheng. The Application of Deep Learning Technologies in Data Analysis of Information System. Computer & Telecommunication, 2017, 1(6): 51-53.
2017, Vol. 1 
