GPU accelerated Deep Belief Network
GPU accelerated Deep Belief Network in Python
From Wikipedia:
In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a
type of deep neural network, composed of multiple layers of latent variables (“hidden units”), with
connections between the layers but not between units within each layer.When trained on a set of examples in an unsupervised way, a DBN can
learn to probabilistically reconstruct its inputs. The layers then act as feature detectors on inputs.
After this learning step, a DBN can be further trained in a supervised way to perform classification.
See the example.