Training Generative Adversarial Networks with Adaptive Composite Gradient

Huiqing Qi, Fang Li, Shengli Tan +1

The wide applications of Generative adversarial networks benefit from the successful training methods, guaranteeing that an object function converges to the local minima. Neverthel…