Variational Autoencoders (VAEs) are an artificial neural network architecture to generate new data. They are similar to regular autoencoders, which consist of an encoder and decoder. The encoder takes ...
Bengio, Y., Laufer, E., Alain, G. and Yosinski, J. (2014). Deep generative stochastic networks trainable by backprop. In International Conference on Machine Learning ...
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