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{{compu-AI-stub}}
An '''auto-encoder''' is an [[artificial neural network]] used for learning efficient codings.
The aim of an auto-encoder is to learn a compressed representation (encoding) for a set of data.
This means it is being used for [[dimensionality reduction]]. More specifically, it is a feature extraction method.
Auto-encoders use three layers:
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