HyperGAN
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  • Uniform Distribution
  • Projections
  • Category Distribution

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  1. Components
  2. Latent

Uniform Distribution

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Last updated 4 years ago

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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

"sphere" projection

"gaussian" projection

"modal" projection

One of many

"binary" projection

On/Off

Category Distribution

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