深度信念网络（Deep Belief Networks, DBNs）由Geoffrey Hinton于2006年提出，是一种经典的深度生成式模型，通过将一系列受限玻尔兹曼机（RBM）单元 ... ... <看更多>

In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a class of deep neural network, composed of multiple layers ... ... <看更多>

I have already tried an autoencoder which performs well and now I thought that maybe a deep belief network( stack of BernoulliRBMs from ... ... <看更多>

I was studying Deep Belief Network (DBN) and have questions. 1) According to the definition of DBN, DBN is formed by stacking RBM on top of each ... ... <看更多>