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