1
1
how to fix this issue with tf version 1.8 ? thks
@Xiaodong-Bran a little difficult,i am noob in python and deeplearning. to my best knowledge, distorted images and non-distorted images were trainded by CycleGAN.
@falrom 我也是发现了这个作者BN使用不当,思考了很久不知道怎么改,有没有想法?
好的,谢谢,作为科研论文,我还是尽量按照BN正确用法吧
@zhangqianhui 您好,您是使用WGAN损失函数Ex∼qdata[D(x)]−Ez∼p(z)[D(G(z))] 和在判别器中使用谱归一化?这样进行有效果吗? 之前我试过直接在WGAN-GP加入谱归一化,结果生成器和判别器的loss都是nan。
@zhangqianhui @takerum  i apply hinge loss and spectral normalization to my experiment ,which actually outperform the WGAN-GP loss function with the same network structure. a little pity, the discriminator...
@zhangqianhui yeah,it is the D loss using hinge loss and does not convergence to a certain value. why? thx