Database Meets Deep Learning: Challenges and Opportunities
National University of Singapore（新加坡国立大学）；Beijing Institute of Technology（北京理工大学）；Zhejiang University（浙江大学）；University of Michigan（密歇根大学）
英文摘要：
Deep learning has recently become very popular on account of its incredible success in many complex data-driven applications, such as image classification and speech recognition. The database community has worked on data-driven applications for many years, and therefore should be playing a lead role in supporting this new wave. However, databases and deep learning are different in terms of both techniques and applications. In this paper, we discuss research problems at the intersection of the two fields. In particular, we discuss possible improvements for deep learning systems from a database perspective, and analyze database applications that may benefit from deep learning techniques.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
