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View Code? Open in Web Editor NEWA implement of spectral normalization GAN for tensorflow version
A implement of spectral normalization GAN for tensorflow version
同学你好,我是深度学习的初学者。我想问下,把你所给输入图像大小改成256*256,输出图像也是同样大小。卷积核大小、个数需要改变吗?或者说程序中需要改动哪里?谢谢了
I have tried to train the GAN on my personal computer (with cheap GPU), but it takes too long. I think having these trained GAN publicly available would be really helpful for people that cannot afford to have big GPU clusters. Thank you in advance!
同学实在是不好意思,叒问你问题。
我把你写的SN加到WGAN的判别器中,生成和对抗loss值都是nan。
我把WGAN-GP的梯度惩罚项去掉,生成和对抗loss值不是nan。
这是什么原因啊?讲道理,SN是对判别器起作用,为什么会对生成器loss产生影响?
再次感谢!
The paper and the code are both for the 2D convolution of the sn limit w, then how to deal with w in the 3D convolution?
While skimming through your code, I don't understand why do you need update_collection
variable here,
https://github.com/nnUyi/SNGAN/blob/master/SNGAN.py#L125
Later on I go deeper but don't understand here what do you want to do bt the following section of code,
https://github.com/nnUyi/SNGAN/blob/master/ops.py#L91-L97
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