lesson51-WGAN实战

代码说明：

说明：  生成式对抗网络（GAN, Generative Adversarial Networks ）是一种深度学习模型，是近年来复杂分布上无监督学习最具前景的方法之一。模型通过框架中（至少）两个模块：生成模型（Generative Model）和判别模型（Discriminative Model）的互相博弈学习产生相当好的输出。(Emergent against network (GAN, Generative Adversarial Networks) is a kind of deep learning model, is a complex distribution in recent years on one of the most promising method for unsupervised learning. The frame of the Model by (at least) two modules: generation Model (Generative Model) and the discriminant Model (Discriminative Model) of the game to learn each other produce fairly good output.)

文件列表：

dataset.py, 5409 , 2019-10-02
gan.py, 2152 , 2019-10-02
gan_train.py, 4550 , 2019-10-02
wgan.py, 2152 , 2019-10-02
wgan_train.py, 5333 , 2019-10-02