摘要：Restricted Boltzmann Machines are increasingly popular tools for unsupervised learning. They are very general, can cope with missing data and are used to pretrain deep learning machines. RBMs learn a generative model of the data distribu...http://www.researchgate.net/publication/228570256_Investigating_Convergence_of_Restricted_Boltzmann_Machine_Learning

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