> For the complete documentation index, see [llms.txt](https://hypergan.gitbook.io/hypergan/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hypergan.gitbook.io/hypergan/components/latent/uniform-distribution.md).

# 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**

![](https://raw.githubusercontent.com/255BITS/HyperGAN/master/doc/encoder-linear-linear.png)

**"sphere" projection**

![](https://raw.githubusercontent.com/255BITS/HyperGAN/master/doc/encoder-linear-sphere.png)

**"gaussian" projection**

![](https://raw.githubusercontent.com/255BITS/HyperGAN/master/doc/encoder-linear-gaussian.png)

**"modal" projection**

One of many

**"binary" projection**

On/Off

## Category Distribution

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


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