Review of Deep Learning Development
HOU Yuqingyang
QUAN Jicheng
WANG Hongwei
Abstract：Considering deep learning's value of researching and applying and the importance in academic and industry area, this paper reviews the main stream deep learning network models and gives theirs introduction.First, the history of deep learning is introduced.According to applying research, four deep learning network of the main streams are introduced.Second, the developing state of current deep learning is summarizedfrom five aspects which are network performance improvement, net system development, the new learning model to explore, deep reinforce learning and visualization theory research.Last, development prospect of deep learning comes up.Although deep learning outperform other methods abviously in different fields, there are still some issues needed to be solved, such as intelligence of deep learning improvement, raising the utilization ratio of data without labels.
Keywords：deep learningconvolution neural networksemi-supervised learningdeep reinforce learningartificial intelligence
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 5-9,111 )