How Conditional Variational Autoencoders Work

A conditional variational autoencoder (CVAE) is a type of generative model that can learn to generate new data samples that are similar to a training dataset, while also allowing you to specify certain desired properties or attributes of the generated samples. Here’s how a CVAE works: First, the CVAE encodes the input data into a …

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