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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 > Boltzmann machine
... > NLP methods and tools > artificial intelligence > machine learning > machine learning model > generative model > Boltzmann machine
NLP methods and tools > model > statistical model > generative model > Boltzmann machine
NLP methods and tools > statistics > statistical model > generative model > Boltzmann machine

Terme préférentiel

Boltzmann machine  

Définition

  • An RNN architecture with one or more hidden layers, an input or visible layer, and no output layer, that can learn probabilistic distributions on an input dataset and performs classification, regression, and feature learning operations. It is used as a pretraining model in applications that need preliminary data, such as computer vision and image classification. (Adapted from Oğuz et al., Introduction to deep learning and diagnosis in medicine, in Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, 2023)

Concept générique

Concepts spécifiques

Synonyme(s)

  • BM

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-J98H6JZW-3

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RDF/XML TURTLE JSON-LD Dernière modification le 03/05/2024