A restricted Boltzman machine (RBM) is an undirected neural network, also denoted as generative stochastic networks (GSNs), and can learn probability distribution over its set of inputs. As the name suggests, they originate from the Boltzman machine, a recurrent neural network that was introduced in the eighties. In a Boltzmann machine, every node or neuron is connected with all other nodes, which makes it difficult to process when the node count increases. Restricted means that the neurons must form two fully connected layers, an input layer and a hidden layer, as shown in the following diagram:
Unlike feedforward ...
