深度学习结构和算法比较分析

Note on deep architecture and deep learning algorithms

Hinton等人提出的深度机器学习,掀起了神经网络研究的又一个浪潮.介绍了深度机器学习的基本概念和基本思想.对于目前比较成熟的深度机器学习结构深度置信网DBNs和约束Boltzmann机(RBM)的结构和无监督贪婪学习算法作了比较详细的介绍和比较,并对算法的改进方向提出了有建设性的意见,对深度机器学习的未来发展方向和目前存在的问题进行了深刻的分析。

Deep architectures proposed by Hinton et al stir up another study wave in neural networks.This paper introduced the idea and basic concepts in deep learning.DBNs and RBMs are the advanced structures of deep learning,whose structures and effective learning algorithm are also introduced in detail in this paper.In addition,open questions in deep learning are also briefly displayed so that researchers who are interested in can devote themselves into those questions and solve them.