HyperGAN
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HyperGAN
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About
Getting started
CLI guide
Configurations
Showcase
AI Explorer for Android
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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
Alternating Trainer
Simultaneous Trainer
Balanced Trainer
Accumulate Gradient Trainer
Optimizer
Train Hook
Other GAN implementations
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Trainer
Trains the GAN object.
Creation
The trainer creates the optimizer, and any associated train hooks.
trainable_gan
=
TrainableGAN
(
gan
)
Access
trainable_gan.trainer
Actions
trainer
.
step
(
feed_dict
)
# Step forward
Events
trainer
.
before_step
(
step
,
feed_dict
)
trainer
.
after_step
(
step
,
feed_dict
)
Previous
Uniform Distribution
Next
Alternating Trainer
Last modified
2yr ago