文件名称:lesson51-WGAN实战
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- 上传时间:
- 2019-10-16
- 文件大小:
- 6kb
- 下载次数:
- 0次
- 提 供 者:
- yaofa*****
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介绍说明--下载内容均来自于网络,请自行研究使用
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 fr a me 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.)
The fr a me 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.)
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
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 |