Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
deviation. The complete network architecture of variational autoencoders looks like this: The mean here controls the position where the encodings of input should be centered around and the standard deviation controls how much the mean encodings can vary. The loss function that is used to train this