/Variational-Auto-Encoders-VAEs

A variational autoencoder can be defined as being an autoencoder whose training is regularised to avoid overfitting and ensure that the latent space has good properties that enable generative process.

Primary LanguageJupyter NotebookMIT LicenseMIT

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