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AI & Machine Learning · Intermediate

Autoencoder

A neural network trained to reconstruct its input through a compressed bottleneck representation.

Definition

An encoder compresses input into a latent vector and a decoder reconstructs it. Autoencoders are used for dimensionality reduction, denoising and anomaly detection, since poorly reconstructed inputs are likely anomalous.

Exam tip

High reconstruction error flags anomalies in autoencoder-based detection.

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