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Vocabulary of natural language processing (POC)

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Concept information

Término preferido

Boltzmann machine  

Definición

  • 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)

Conceptos específicos

Etiquetas alternativas

  • BM

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URI

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

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