Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
images from these autoencoders? Variational Autoencoders This is where variational autoencoders are helpful. They assume that the training data is generated from some underlying unobserved representations (z). The main difference between a simple autoencoder and variational autoencoder is that