FusedProp: Towards Efficient Training of Generative Adversarial Networks

Zachary Polizzi, Chuan-Yung Tsai

Generative adversarial networks (GANs) are capable of generating strikingly realistic samples but state-of-the-art GANs can be extremely computationally expensive to train. In this…