Variational autoencoder
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In machine learning, a variational autoencoder (VAE), is an artificial neural network architecture. It was introduced by Diederik P. Kingma and Max Welling.
In machine learning, a variational autoencoder (VAE), is an artificial neural network architecture. It was introduced by Diederik P. Kingma and Max Welling.