HyperGAN
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HyperGAN
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Least Squares Loss
From
https://arxiv.org/abs/1611.04076
​
Source:
/losses/least_squares_loss.py
​
1
a
,
b
,
c
=
(
config
.
labels
or
[
-
1
,
1
,
1
])
2
d_loss
=
0.5
*
((
d_real
-
b
)
**
2
)
+
0.5
*
((
d_fake
-
a
)
**
2
)
3
g_loss
=
0.5
*
((
d_s
Copied!
examples
Configurations:
/losses/least_squares_loss/
​
1
{
2
"class"
:
"function:hypergan.losses.least_squares_loss.LeastSquaresLoss"
3
}
Copied!
options
attribute
description
type
labels
[a,b,c]. Defaults to
[-1,1,1]
array of floats (optional)
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