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Variational autoencoder

Value
50 W
Attack
240
Defence
192
Players
0
In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling in 2013. It is part of the families of probabilistic graphical models and variational Bayesian methods.

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