HyperGAN
Search…
HyperGAN
About
Getting started
CLI guide
Configurations
Showcase
AI Explorer for Android
Youtube, Twitter, Discord +
Examples
2D
Text
Classification
Colorizer
Next Frame (video)
Tutorials
Training a GAN
Pygame inference
Creating an image dataset
Searching for hyperparameters
Components
GAN
Generator
Discriminator
Layers
Loss
Latent
Trainer
Optimizer
Train Hook
Adversarial Norm
Weight Constraint
Stabilizing Training
JARE
Learning Rate Dropout
Gradient Penalty
Rolling Memory
Other GAN implementations
Powered By
GitBook
JARE
https://arxiv.org/abs/1806.09235
examples
1
{
2
"class"
:
"function:hypergan.train_hooks.jare_train_hook.JARETrainHook"
,
3
"gamma"
:
"anneal(0.9 multiplier=2.5 metric=jare)"
4
}
Copied!
1
{
2
"class"
:
"function:hypergan.train_hooks.jare_train_hook.JARETrainHook"
,
3
"d_gamma"
:
2.0
,
4
"g_gamma"
:
0
5
}
Copied!
https://github.com/weilinie/JARE/blob/master/src/ops.py#L226
github.com
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
Previous
Stabilizing Training
Next
Learning Rate Dropout
Last modified
1yr ago
Copy link
Contents
examples
options