Another type of Boltzmann Machine is Deep Boltzmann machine (DBM). This is a neural network similar to RBM, but instead of having only one layer of hidden nodes, DBMs have many. Each layer of neurons is connected only to those adjacent (the one immediately preceding and immediately following); here also, the neurons of the same layer are not interconnected. This structure allows the emergence of particular statistics from each layer that can capture new data features. The following diagram shows a DBM model with one visible layer and two hidden layers:
As we can see, connections are only between units in neighboring ...
