Also known as: VAE
VAE (variational autoencoder) — это generative model, обучающая вероятностное latent representation входных данных. Она использует variational inference для генерации измененных, реконструированных или новых examples, похожих на training data.
A type of autoencoder that leverages the discrepancy between inputs and outputs to generate modified versions of the inputs. Variational autoencoders are useful for generative AI. VAEs are based on variational inference: a technique for estimating the parameters of a probability model.