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使用Jittor 机器学习框架,在数字图片数据集MNIST 上训练一个将随机噪声和类别标签映射为数字图片的Conditional GAN 模型,生成指定数字序列对应的图片。
Jittor框架对环境要求如下:
在本目录下
py -3 .\CGAN.py
Apache 2.0
此项目基于论文 A Style-Based Generator Architecture for Generative Adversarial Networks 实现,大部分代码参考了 jittor-gan-CGAN。