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
Uniform Distribution
Trainer
Optimizer
Train Hook
Other GAN implementations
Powered By GitBook
Latent
Describes a prior distribution that feeds to a generator
Sometimes referred to as the z-space representation or latent space. In dcgan the distribution is random uniform noise.
Can be thought of as input to the generator.
Previous
Wasserstein Loss
Next
Uniform Distribution
Last modified 1yr ago
Copy link