| 基于自编码算法的深度学习综述 |
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| 引用本文： | 崔广新,李殿奎.基于自编码算法的深度学习综述[J].计算机系统应用,2018,27(9):47-51. |
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| 作者姓名： | 崔广新 李殿奎 |
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| 作者单位： | 佳木斯大学 信息电子技术学院, 佳木斯 154007,佳木斯大学 信息电子技术学院, 佳木斯 154007 |
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| 基金项目： | 2017年黑龙江省教育科研专项（2017-0001） |
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| 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，在无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.
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| 关 键 词： | 机器学习 深度学习 自编码算法 无监督学习 神经网络 |
| 收稿时间： | 2018/1/9 0:00:00 |
| 修稿时间： | 2018/1/31 0:00:00 |
Overview on Deep Learning Based on Automatic Encoder Algorithms |
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| CUI Guang-Xin and LI Dian-Kui.Overview on Deep Learning Based on Automatic Encoder Algorithms[J].Computer Systems& Applications,2018,27(9):47-51. |
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| Authors: | CUI Guang-Xin and LI Dian-Kui |
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| Affiliation: | College of Information Science and Electronic Technology, Jiamusi University, Jiamusi 154007, China and College of Information Science and Electronic Technology, Jiamusi University, Jiamusi 154007, China |
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| 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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| Keywords: | machine learning deep learning automatic encoder unsupervised learning neural networks |
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