基于RBM的深度信念网络综述

Review on Deep Belief Network Based on RBM

RBM是深度信念网络的重要组成单元,也是深度学习领域的基本方法之一。笔者首先介绍RBM模型的建立过程,在此基础之上详细分析RBM的三次数据传递过程。之后,引入深度信念网络模型,并介绍了两种深度信念网络的改进方法。最后,对深度信念网络的应用进行了总结和展望。

RBM is an important component of deep belief network, and is also one of the basic methods in deep learning field. The author first introduces the establishment process of RBM model, and then analyzes the three data transmission process of RBM in detail. After that, the deep belief network model is introduced, and two improved methods of deep belief network are introduced. Finally, the application of deep belief network is summarized and prospected.