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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

etiqueta alternativa (skos)

  • DAE

En otras lenguas

URI

http://data.loterre.fr/ark:/67375/LTK-N4NJQ7FF-M

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