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The Network archtecture of Discriminator is strange in "MNIST_EDGE" task.
Why the number of ouput channel is 2?
When I train the train_cogan_mnist.py, the result is awful. It seems Generator can not learn much from training, G_loss keeps a high value while D_loss is always much samller.
I am a little doubt with the effectiveness of this pytorch version code
The text was updated successfully, but these errors were encountered:
The Network archtecture of Discriminator is strange in "MNIST_EDGE" task.
Why the number of ouput channel is 2?
When I train the
train_cogan_mnist.py
, the result is awful. It seems Generator can not learn much from training, G_loss keeps a high value while D_loss is always much samller.I am a little doubt with the effectiveness of this pytorch version code
The text was updated successfully, but these errors were encountered: