Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
the output distribution (qφ(z|x)) match to p(z). Summary The idea of VAE can be generalized by the image below: Figure 7: The architecture of the variational autoencoder The encoder takes a datapoint X as input and generates μ and logσ² as outputs. The reason that we use logσ² instead of σ² is that