An Overview of Deep Generative Models
Jungang Xu, Hui Li, Shilong Zhou · IETE Technical Review · 2014
As an important category of deep models, deep generative model has attracted more and more attention with the proposal of Deep Belief Networks (DBNs) and the fast greedy training algorithm based on restricted Boltzmann machines (RBMs). In the past few years, many different deep generative models are proposed and used in the area of Artificial Intelligence. In this paper, three important deep generative models including DBNs, deep autoencoder, and deep Boltzmann machine are reviewed. In addition, some successful applications of deep generative models in image processing, speech recognition and information retrieval are also introduced and analysed.