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About the loss function of LSGAN #6

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zhangqianhui opened this issue Nov 25, 2017 · 1 comment

zhangqianhui commented Nov 25, 2017

You code about the D_loss

d_adv_loss = self.compute_adv_loss(self.d_real, True, 0.5) + self.compute_adv_loss(self.d_fake, False, 0.5)

The official code of D_loss

 if type == 'lsgan': 
        G_loss = L2(fake_scores_out, 0)
        D_loss = L2(real_scores_out, 0) + L2(fake_scores_out, 1) * L2_fake_weight

The value of L2_fake__weight is 0.1.

So, Do you abserve it?

The text was updated successfully, but these errors were encountered:

Owner

github-pengge commented Nov 25, 2017

I didn't notice that. Thanks.

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