Concept information
Término preferido
denoising autoencoder
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Definición
- "Denoising autoencoders can be viewed either as a regularization option, or as robust autoencoders which can be used for error correction. In these architectures, the input is disrupted by some noise (e.g., additive white Gaussian noise or erasures using Dropout) and the autoencoder is expected to reconstruct the clean version of the input" (Bank et al., 2021).
Concepto genérico
Etiquetas alternativas
- DAE
En otras lenguas
-
francés
-
DAE
URI
http://data.loterre.fr/ark:/67375/LTK-N4NJQ7FF-M
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