What is an autoencoder in neural network?

Date:2023-01-09
An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction. Autoencoders usually have a restricted structure but possess powerful learning capabilities. They are a form of self-supervised learning and can be used to learn useful features from unknown datasets.
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