How to train the Discriminators in the article? #80

Open
opened 2021-08-03 04:38:20 +02:00 by linyu0219 · 2 comments
linyu0219 commented 2021-08-03 04:38:20 +02:00 (Migrated from github.com)

I want use your GAN Discriminators and hinge loss in article for my own work?
but the loss can't reduce.
I note you write using adam in article ,the 𝛽1=0 and 𝛽2=0.999, is this has any writting error?
Do you have any tricks training the Discriminators, multi stage?
Stage 1, only hinge loss
Stage 2, hinge loss +10*GP loss?

I want use your GAN Discriminators and hinge loss in article for my own work? but the loss can't reduce. I note you write using adam in article ,the 𝛽1=0 and 𝛽2=0.999, is this has any writting error? Do you have any tricks training the Discriminators, multi stage? Stage 1, only hinge loss Stage 2, hinge loss +10*GP loss?
NNNNAI commented 2021-08-06 15:05:49 +02:00 (Migrated from github.com)

First, there is no writting error for the beta value.Second, you can try hinge loss +1e-5*GP loss.

First, there is no writting error for the beta value.Second, you can try hinge loss +1e-5*GP loss.
ygtxr1997 commented 2022-10-09 10:31:43 +02:00 (Migrated from github.com)

In your code, beta2 is 0.99 which is inconsistent with 0.999 wrote in your paper.

In your code, beta2 is 0.99 which is inconsistent with 0.999 wrote in your paper.
Sign in to join this conversation.