HyperGAN
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HyperGAN
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Softmax Loss
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ln_zb = (((-d_real).exp().sum()+(-d_fake).exp().sum())+1e-12).log()
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d_target = 1.0 / d_real.shape[0]
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g_target = d_target / 2.0
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​
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g_loss = g_target * (d_fake.sum() + d_real.sum()) + ln_zb
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d_loss = d_target * d_real.sum() + ln_zb
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examples

1
{
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"class": "function:hypergan.losses.softmax_loss.SoftmaxLoss",
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}
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