# demprior

## Purpose

Demonstrate sampling from a multi-parameter Gaussian prior.

## Synopsis

    demprior

## Description

This function plots the functions represented by a multi-layer perceptron network when the weights are set to values drawn from a Gaussian prior distribution. The parameters `aw1`, `ab1` `aw2` and `ab2` control the inverse variances of the first-layer weights, the hidden unit biases, the second-layer weights and the output unit biases respectively. Their values can be adjusted on a logarithmic scale using the sliders, or by typing values into the text boxes and pressing the return key.

## See Also

`mlp`

Pages: Index

Copyright (c) Ian T Nabney (1996-9)