HyperGAN
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HyperGAN
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Logistic Loss
Adapted from
http://stylegan.xyz/paper
Source:
/losses/logistic_loss.py
1
d_loss
=
self
.
softplus
(
-
d_real
)
+
self
.
softplus
(
d_fake
)
2
g_loss
=
self
.
softplus
(
-
d_fake
)
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examples
Configurations:
/losses/logistic_loss/
1
{
2
"class"
:
"function:hypergan.losses.logistic_loss.LogisticLoss"
3
}
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options
attribute
description
type
beta
https://pytorch.org/docs/stable/_modules/torch/nn/modules/activation.html#Softplus
float (optional)
threshold
https://pytorch.org/docs/stable/_modules/torch/nn/modules/activation.html#Softplus
float (optional)
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Last modified
1yr ago
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