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生成对抗网络GAN代码

于 2023-08-05 发布文件大小:52.27 MB

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# Generative Adversarial Nets for Matlab only class 2 with GAN ![](https://github.com/layumi/2016_GAN_Matlab/blob/master/show.png) class 0-9 with infoGAN ![](https://github.com/layumi/2016_GAN_Matlab/blob/master/show2.png) I use feature matching to train Generative model. (I define this Loss in the `/matlab/+dagnn/Feature_Match_Loss.m`) 1.Compile matconvnet by run `gpu_compile.m` which you should remove comment in it. 2.You can test this code by run `test_gan_3.m` or `test_gan_info.m` 3.If you wanna train this code, you can run `train_gan_3.m` or `train_gan_info.m` You can find the network structure in `GDnet_3.m` and `GDnet_info.m` # Some Details 1.I may miss some thing or not select a good initial parameter. So any advice is welcome.

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