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README.md

cgan_jittor

基于强大的深度学习框架 Jittor 实现了 Conditional GAN，用于生成高质量的手写数字。

项目结构

├── cgan_jittor
│   ├── data
│   │   ├── model_params
│   │   └── gen_imgs
│   ├── output
│   └── CGAN.py

项目安装

环境依赖

pip install -r requirements.txt

数据集下载

MNIST 数据集可以通过 Jittor 框架自动下载。

项目运行

python CGAN.py

详细参数设置请参考 CGAN.py 文件。

项目效果

训练过程中生成的手写数字（20498282044974）图片效果如下：

result

项目参考

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基于强大的深度学习框架 Jittor实现了Conditional GAN，用于生成高质量的手写数字。

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