HyperGAN
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  1. Components
  2. Train Hook

JARE

https://arxiv.org/abs/1806.09235

PreviousStabilizing TrainingNextLearning Rate Dropout

Last updated 4 years ago

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examples

{
    "class": "function:hypergan.train_hooks.jare_train_hook.JARETrainHook",                                       
    "gamma": "anneal(0.9 multiplier=2.5 metric=jare)"
}
{
    "class": "function:hypergan.train_hooks.jare_train_hook.JARETrainHook",                                       
    "d_gamma": 2.0,
    "g_gamma": 0
}

options

attribute

description

type

gamma

loss multiplier.

float

d_gamma

loss multiplier for discriminator. overrides gamma

float

g_gamma

loss multiplier for generator. overides gamma

float

Floats are configurable parameters

https://github.com/weilinie/JARE/blob/master/src/ops.py#L226github.com