Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

CycleGAN convergence #335

Open
wjx2 opened this issue Jul 24, 2018 · 3 comments
Open

CycleGAN convergence #335

wjx2 opened this issue Jul 24, 2018 · 3 comments

Comments

@wjx2
Copy link

wjx2 commented Jul 24, 2018

Hi . Thanks for the wonderful explanation. I am new in GAN. And I have a question.
When I train cycleGAN, I found that the discriminator loss decreases and converges, but the generator loss always change not much. So, How to judge whether cycleGAN converges?

@junyanz
Copy link
Owner

junyanz commented Jul 25, 2018

Many GAN losses do not converge at all (exception: WGAN) due to the nature of minimax optimization. Your loss curves look quite normal.

@ajaykmr2292
Copy link

Can you tell me what does GAN loss exploding signify and when does that happen?

@junyanz
Copy link
Owner

junyanz commented Dec 26, 2018

Sometimes GAN loss might explode if you have an unusual training input (e.g., a white image). But it should be fine as long as the loss is reasonable for most of the times.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants