Generative Adversarial Networks and Its Applications in Biomedical Informatics

• Main Authors: Lan Lan (Author), Lei You (Author), Zeyang Zhang (Author), Zhiwei Fan (Author), Weiling Zhao (Author), Nianyin Zeng (Author), Yidong Chen (Author), Xiaobo Zhou (Author)
• Format: Book
• Published: Frontiers Media S.A., 2020-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator. Among them, the generator and discriminator are implicit function expressions, usually implemented by deep neural networks. GAN can learn the generative model of any data distribution...