Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging

Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly

Generative Adversarial Networks (GANs) have high computational costs to train their complex architectures. Throughout the training process, GANs' output is analyzed qualitatively b…