我们的实例模型被选入MindSpore官网的应用实践教程！
paperswithcode相关链接
本案例采用的MNIST数据集请于此处下载解压（注意本项目将t10k-images-idx3-ubyte改为t10k-images.idx3-ubyte）
有关模型的详细介绍请参见可直接运行的 GAN.ipynb 或直接运行 train.py 亦可
在 result/checkpoints 文件夹下保存部分了训练完成的生成器和判别器模型的参数
xxayt/mindspore-GAN
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GAN based on MindSpore
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