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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Published in | Applied soft computing Vol. 138; p. 110176 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.05.2023
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Subjects | |
Online Access | Get full text |
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