Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
approximation, pθ(x|z), which takes an embedding Z and produces the output X-hat. Figure 6: An example of a variational autoencoder Loss Function The loss function for VAE has two parts. The first part of the loss function is called the variational lower bound, which measures how well the network