HyperGAN
Search…
⌃K

Uniform Distribution

Uniform Distribution

attribute
description
type
z
The dimensions of random uniform noise inputs
int > 0
min
Lower bound of the random uniform noise
int
max
Upper bound of the random uniform noise
int > min
projections
See more about projections below
[f(config, gan, net):net, ...]
modes
If using modes, the number of modes to have per dimension
int > 0

Projections

This distribution takes a random uniform value and outputs it as many possible types. The primary idea is that you are able to query Z as a random uniform distribution, even if the gan is using a spherical representation.
Some projection types are listed below.
"identity" projection
Could not load image
"sphere" projection
Could not load image
"gaussian" projection
Could not load image
"modal" projection
One of many
"binary" projection
On/Off

Category Distribution

Uses categorical prior to choose 'one-of-many' options.