A comprehensive survey on design and application of autoencoder in deep learning

Autoencoder is an unsupervised learning model, which can automatically learn data features from a large number of samples and can act as a dimensionality reduction method. With the development of deep learning technology, autoencoder has attracted the attention of many scholars. Researchers have pro...

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Veröffentlicht in:	Applied soft computing Jg. 138; S. 110176
Hauptverfasser:	Li, Pengzhi, Pei, Yan, Li, Jianqiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2023
Schlagworte:	Autoencoder Autoencoder application Deep learning Feature extraction Unsupervised learning Deep learning Feature extraction Autoencoder Autoencoder application Unsupervised learning
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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