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Vocabulary of natural language processing (POC)

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Concept information

... > NLP methods and tools > artificial intelligence > machine learning > machine learning model > neural networks model > deep neural network > deep belief network

Terme préférentiel

deep belief network  

Définition

  • A kind of deep neural network, which is composed of stacked layers of restricted boltzmann machines. It is a generative model used to solve unsupervised learning tasks to reduce the dimensionality of features, and can also be used to solve supervised learning tasks to build classification models or regression models. (Adapted from Liu, Single-point wind forecasting methods based on reinforcement learning, in Wind Forecasting in Railway Engineering, 2021)

Concept générique

Synonyme(s)

  • DBN
  • Deep Boltzmann Machine

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-NKGH1TJT-R

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RDF/XML TURTLE JSON-LD Dernière modification le 02/05/2024