Generative Adversarial Network (GAN) is a useful type of Neural Networks in various types of applications including generative models and feature extraction. Various types of GANs are being researched with different insights, resulting in a diverse family of GANs with a better performance in each generation. This review focuses on various GANs categorized by their common traits.

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关于生成对抗网络 (GAN) 变体的性能：临床数据研究

生成对抗网络 (GAN) 是一种有用的神经网络类型，可用于各种类型的应用程序，包括生成模型和特征提取。正在以不同的见解研究各种类型的 GAN，从而产生了在每一代都具有更好性能的多样化 GAN 系列。本综述重点关注按共同特征分类的各种 GAN。