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In vanilla GANs, a sigmoid activation is applied on the output layer for G and D. See https://github.com/goodfeli/adversarial/blob/master/mnist.yaml
For WGAN, there is none for D, and we get a score instead of a probability.
However, in the code there is no activation (e.g sigmoid) for WGAN-MLP also for G, whereas there is tanh for WGAN-DCGAN. Is there a specific reason?
Thanks in advance
The text was updated successfully, but these errors were encountered:
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In vanilla GANs, a sigmoid activation is applied on the output layer for G and D.
See https://github.com/goodfeli/adversarial/blob/master/mnist.yaml
For WGAN, there is none for D, and we get a score instead of a probability.
However, in the code there is no activation (e.g sigmoid) for WGAN-MLP also for G, whereas there is tanh for WGAN-DCGAN.
Is there a specific reason?
Thanks in advance
The text was updated successfully, but these errors were encountered: