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) Christopher M Bishop, Ian T Nabney (1996, 1997)