HyperGAN
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  1. Components
  2. Loss

QP Loss

https://arxiv.org/abs/1811.07296

PreviousLogistic LossNextRAGAN Loss

Last updated 4 years ago

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lam = 10.0/(reduce(lambda x,y:x*y, gan.output_shape()))
dist = (gan.generator.sample - self.gan.inputs.sample).abs().mean()

dl = - d_real + d_fake
d_norm = 10 * dist
d_loss = ( dl + 0.5 * dl**2 / d_norm).mean()

g_loss = d_real - d_fake

examples

{                                                                                       
  "class": "function:hypergan.losses.qp_loss.QPLoss"
}
https://arxiv.org/abs/1811.07296
/losses/qp_loss_loss.py