摘要
The original restricted Boltzmann machines(RBMs)are extended by replacing the binary visible and hidden variables with clusters of binary units,and a new learning algorithm for training deep Boltzmann machine of this new variant is proposed.The sum of binary units of each cluster is approximated by a Gaussian distribution.Experiments demonstrate that the proposed Boltzmann machines can achieve good performance in the MNIST handwritten digital recognition task.
