Optimal Transport, Deep Learning, Computational Geometry, Probability Distributions, Convex Optimization.
however, at the beginning, will deem it to be “fake” and the large error will force the back propagation to update generator weights to output better image. In this process, the latent space will be assigned meaning and eventually represent the output distribution. Let us see more broadly into deep