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How to compare GANs without a test set?
I have a question about your paper, about the test set x_{test}: suppose I have an unlabeled training set with only one class (only pictures of tables, say). I use 2 GANs to generate more pictures of tables. How can I use your metric to compare them?
MNIST
I found when I train in the MNIST dataset, in epoch 83, it begin output meaningful image. before it , the output is all noise ,can you tell me the learing rate and other hyper-parameters when you train in the mnist dataset?
adam optimize
in optimize_gan.py : function ADAM param l=1e-8, I wonder if it is wrong, because b1_t will become close to 0 .
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