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
How to interpret the losses? #17
Comments
That's not a problem, your charts look okay. The generator loss is actually meaningless by itself, since the critic's loss is invariant to any constant offset (I.e. A critic F(x) and a critic F(x)+c will perform the same under the critic objective). This means that constant offset will randomly vary up and down (and the generator loss with it). So in general you should pay attention only to the critic loss (actually, the negative of that, if you want your loss curve to look more like the typical supervised curves).
…_____________________________
From: wchen342 <notifications@github.com<mailto:notifications@github.com>>
Sent: Wednesday, April 26, 2017 8:56 PM
Subject: [igul222/improved_wgan_training] How to interpolate the losses? (#17)
To: igul222/improved_wgan_training <improved_wgan_training@noreply.github.com<mailto:improved_wgan_training@noreply.github.com>>
Cc: Subscribed <subscribed@noreply.github.com<mailto:subscribed@noreply.github.com>>
When I tried wgan-gp on my own problems, sometimes I got very unbalanced losses (e.g. the loss of discriminator is high, but the loss of generator is around 0. Seethis<https://github.com/wchen342/misc/blob/master/Screenshot_20170426_145419.png>). What does this mean? Does it mean the generator is too good?
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub<#17>, or mute the thread<https://github.com/notifications/unsubscribe-auth/ABBP7taW1QBRBL1xUdVlGpXkubmX_vHVks5rz5NzgaJpZM4NJSMP>.
|
That means sense. Thanks! |
Hello, I am thinking how to draw the loss. Sorry it's a little hard for me because these 2 loss should be seperate and in different loops. Will you share the related code to me? Thank you very much. |
Hello,I am noob in GAN. |
When I tried wgan-gp on my own problems, sometimes I got very unbalanced losses (e.g. the loss of discriminator is high, but the loss of generator is around 0. See this). What does this mean? Does it mean the generator is too good?
The text was updated successfully, but these errors were encountered: