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计算机系统应用:2018,27(9):47-51
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基于自编码算法的深度学习综述
崔广新, 李殿奎
(佳木斯大学 信息电子技术学院, 佳木斯 154007)
Overview on Deep Learning Based on Automatic Encoder Algorithms
CUI Guang-Xin, LI Dian-Kui
(College of Information Science and Electronic Technology, Jiamusi University, Jiamusi 154007, China)
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投稿时间:2018-01-09    修订日期:2018-01-31
中文摘要: 深度学习是机器学习的一个分支,开创了神经网络发展的新纪元.自编码算法作为深度学习结构的重要组成部分,在监督学习及非线性特征提取过程中起到了至关重要的作用.首先介绍自编码算法的基本概念及原理,然后介绍基于自编码算法的改进算法,最后列举了自编码算法在若干领域应用的知名案例和发展趋势.
Abstract:Deep learning is a branch of machine learning, creating a new era in the development of neural networks. As an important part of deep learning structure, self-coding algorithm plays a crucial role in unsupervised learning and nonlinear feature extraction. Firstly, the basic concepts and principles of self-encoding algorithm are introduced. Then, the improved algorithm based on self-encoding algorithm is presented. Finally, the well-known cases and development trends of self-encoding algorithm applied in several fields are elaborated.
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基金项目:2017年黑龙江省教育科研专项(2017-0001)
引用文本:
崔广新,李殿奎.基于自编码算法的深度学习综述.计算机系统应用,2018,27(9):47-51
CUI Guang-Xin,LI Dian-Kui.Overview on Deep Learning Based on Automatic Encoder Algorithms.COMPUTER SYSTEMS APPLICATIONS,2018,27(9):47-51

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