Concept information
Preferred term
autoencoder
Definition
- An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning) (Wikipedia, retrieved 07/02/2021).
Broader concept
Narrower concepts
Bibliographic citation(s)
- • Kramer, M. A. (1991). Nonlinear principal component analysis using autoassociative neural networks. AIChE Journal, 37(2), 233‑243. https://doi.org/10.1002/aic.690370209.
is implemented by
In other languages
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French
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auto-associateur
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auto-encodeur
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autoassociateur
URI
http://data.loterre.fr/ark:/67375/LTK-VLKCTXNQ-J
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