Machine Learning, Deep Learning, Computer Vision, Artificial Intelligence, Data Science.
distribution and convert it to a 1-hot vector. Then the generator uses this vector and z to generate an image. When we feed images into the discriminator, it outputs D(x) and an additional output: a probability distribution Q(c|x) (the probability distribution for c given the image x.) For example,