A fast learning algorithm for deep belief nets

(2006). A fast learning algorithm for deep belief nets.

Type

Unclassified

Intellectual base

Unclassified

Year

2006

DOI

10.1162/neco.2006.18.7.1527

Link

https://doi.org/10.1162/neco.2006.18.7.1527

Cited by

1 citation across 1 artifact.

Domain-specific

• Deep belief network
  • … pretraining, approximate inference and reconstruction, generative distribution, supervised fine-tuning option and distinction from DBM autoencoder and generic deep neural network are explicit. to An applied instance preserves the invariant under changed notation, scale, dataset, jurisdiction, or implementation..

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