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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?
The text was updated successfully, but these errors were encountered:
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.
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?
The text was updated successfully, but these errors were encountered: