Optimal Transport, Deep Learning, Computational Geometry, Probability Distributions, Convex Optimization.
latent space and output an image. The latent space is a vector space and need to be trained. The GAN model stacks generator and discriminator together and a random point flows into generator then to discriminator. The output from generator model is manually labeled as “real”, the discriminator