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)
Concepto genérico
Conceptos específicos
Etiquetas alternativas
- BM
En otras lenguas
-
francés
-
BM
URI
http://data.loterre.fr/ark:/67375/8LP-J98H6JZW-3
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