Closed shaomai00 closed 6 years ago
In fact, g_loss and w_loss mean nothing. During the training process, the model will save some generation examples in the save folder, you can convert them to the real word by convert.py
and justify if you should stop training.
thank you for answering. I think I understand now.
I tried to train leakGan in /Image CoCo,while I saw both worker_loss and manager_loss are unstable. total_batch: 440 -0.0632318 0.985172 ... total_batch: 450 -4.78807e-05 3.20244 total_batch: 451 -0.0882713 0.516656 ... total_batch: 455 -0.0578834 1.14354 I'm wondering how to know when to stop training? During the training ,dose g_loss or w_loss meaningful?
And why g_loss<0? thank you very much.