This project forked from starhou/one-dimensional-gan
用GAN生成一维数据
GAN生成一维数据 使用需要加载数据，数据形状为[Batch,InputLength,1], 数据长度注意修改inputLength保持一致。 基于tensorflow2.0
新增WAGN-GP版本。
2020.02.23 新增脚本regress.py, 给出了一种处理回归问题的思路：
假设问题为4个已知数据,估计另一个值，则可表述为，
4个已知数据 ---> 生成器 ---> 1个所求数据
[4个已知数据，1个所求数据(真实) ]---> 判别器
[4个已知数据，1个所求数据(生成) ]---> 判别器
2020.03.04 更新GAN理论.ipynb, 简要介绍了GAN,WGAN,WGAN-GP理论部分
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