Comments (2)
Because the "task" of generator is to cheat the Discriminator. ~ How can you cheat the Discriminator ? ---> you can let the Generator to generate "real image" ! , so the output of Generator is close to real_labels as possible. (If you use fake_label, you want to creat a bad image to cheat Discriminator ? )
from pytorch-tutorial.
Thank you for your help @AceCoooool . In my opinion, training generator won't update discriminator's parameters at the same time, so if the image from generator is fake enough, the loss of criterion will be huge. Using this loss to update generator's parameters, they will be close to real image. Thank you again, :)
from pytorch-tutorial.
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from pytorch-tutorial.