Generative adversarial learning with optimal input dimension and its adaptive generator architecture

Zhiyao Tan, Ling Zhou, Huazhen Lin

We investigate the impact of the input dimension on the generalization error in generative adversarial networks (GANs). In particular, we first provide both theoretical and practic…