Variational Autoencoder

Entity Type: Glossary ID: variational-autoencoder

Definition: A type of autoencoder that learns a probabilistic latent representation of data. VAEs can generate new data samples by sampling from the learned latent distribution and are used for generative modeling and dimensionality reduction.

Related Terms: - autoencoder - latent-space - generative-model - probabilistic-model

Source Urls: - https://en.wikipedia.org/wiki/Variational_autoencoder

Tags: - neural-networks - generative-models - probabilistic-models

Status: active

Version: 1.0.0

Created At: 2025-08-31

Last Updated: 2025-08-31