Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
They are comprised of two connected networks — encoder and decoder. The aim of an encoder is to take an input (x) and produce a feature map (z): The shape of this feature map (z) is usually smaller than x. Why do you think this is the case? Since we want z to capture only the meaningful factors of