Hi,
Thanks for sharing your great work!
I tried implementing your solution and I was wondering what is the expected behavior of the discriminator loss (the gan_d_loss in your code).
Is it supposed to exponentially decrease and converge to zero? I was assuming that if removing the gradient penalty the expected loss for a perfect discriminator should be -1. What should I expect with the gradient penalty? Also, is the gan_g_loss supposed to vary accordingly? In my test case, it is stuck around -0.5.
Thanks in advance for your input!
Hi,
Thanks for sharing your great work!
I tried implementing your solution and I was wondering what is the expected behavior of the discriminator loss (the gan_d_loss in your code).
Is it supposed to exponentially decrease and converge to zero? I was assuming that if removing the gradient penalty the expected loss for a perfect discriminator should be -1. What should I expect with the gradient penalty? Also, is the gan_g_loss supposed to vary accordingly? In my test case, it is stuck around -0.5.
Thanks in advance for your input!