Questions tagged [deep-belief-network]

For questions related to the deep belief network (DBN), a generative deep neural network composed of multiple layers of latent variables ("hidden units"), with connections between the layers but not between units within each layer. DBNs can be viewed as a composition of simple, unsupervised networks such as restricted Boltzmann machines (RBMs or autoencoders, where each sub-network's hidden layer serves as the visible layer for the next.

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What is the difference between the forward pass of the Multi-Layer Perceptron, Deep AutoEncoder and Deep Belief Network?

Multi-Layer Perceptron (MLP), Deep AutoEncoder (DAE), and Deep Belief Network (DBN) are trained differently. However, do they follow the same process during the inference phase, i.e., do they ...
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How do I sample conditionally from deep belief networks?

Deep belief networks (DBNs) are generative models, where, usually, you sample by thermalising the deepest layer (as it's a restricted Boltzmann machine), and then forward propagating a sample towards ...
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What are the differences between a deep belief network, a restricted Boltzmann machine and a deep Boltzmann machine?

Can anyone list the differences between deep Belief network (DBN), restricted Boltzmann machine (RBM), deep Boltzmann machine (DBM) using simple examples? Links to other resources are also ...
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695 views

What is the difference between a stacked restricted Boltzmann machine and deep belief network?

What is the difference between stacked restricted Boltzmann machine (RBM) and deep belief network (DBN)? Are they the same entity? If so, why? Is the latter some specific type of the former? If so, ...
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What are the main differences between a deep Boltzmann machine and a deep belief network?

What are the main differences between a deep Boltzmann machine (DBM) (a recurrent neural network) and a deep belief network (which is based on RBMs)?