HyperGAN
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HyperGAN
About
Getting started
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Configurations
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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.
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trainable_gan = TrainableGAN(gan)
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Access

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trainable_gan.trainer
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Actions

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trainer.step(feed_dict) # Step forward
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Events

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trainer.before_step(step, feed_dict)
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trainer.after_step(step, feed_dict)
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Last modified 1yr ago
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Contents
Creation
Access
Actions
Events