Convergence and Optimality Analysis of Low-Dimensional Generative Adversarial Networks Using Error Function Integrals
Due to their success at synthesising highly realistic images, many claims have been made about optimality and convergence in generative adversarial color touch 7/97 networks (GANs).But what of vanishing gradients, saturation, and other numerical problems noted by AI practitioners? Attempts to explain these phenomena have so far been based on purely