Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
instead of directly extracting the features from the input data, we try to model the probability distribution of the training data. For this, instead of making the encoder output an encoding vector of size n, we output two vectors of size n — a vector of means and another vector of standard