Closed UtopiaHu closed 3 years ago
The VGG loss is increasing while the adversarial loss is decreasing during training stage. There is no typical signal to show whether a GAN model converges.
So, 'The VGG loss is increasing while the adversarial loss is decreasing during training stage. ' means the model is not convergent ?
on this case and dataset it is not
Hi, Thank you for your work. I have a question. Can we get some information from the loss curve during training? What is the normal loss curve like during training? How can I tell the training is not convergent according to the loss curve?