All glossary terms
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Variational Autoencoder (VAE)

A generative model that learns to encode data into latent space and decode to reconstruct data.

In more detail

VAEs learn a probabilistic latent representation enabling generation of new data. Encoder maps to latent distribution; decoder reconstructs. Used for generation, compression, and anomaly detection.

Examples

  • Image generation
  • Image compression
  • Anomaly detection
  • Dimensionality reduction
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