# mlperr

## Purpose

Evaluate error function for 2-layer network.

## Synopsis

    e = mlperr(net, x, t)

## Description

`e = mlperr(net, x, t)` takes a network data structure `net` together with a matrix `x` of input vectors and a matrix `t` of target vectors, and evaluates the error function `e`. The choice of error function corresponds to the output unit activation function. Each row of `x` corresponds to one input vector and each row of `t` corresponds to one target vector.

`[e, edata, eprior] = mlperr(net, x, t)` additionally returns the data and prior components of the error, assuming a zero mean Gaussian prior on the weights with inverse variance parameters `alpha` and `beta` taken from the network data structure `net`.

## See Also

`mlp`, `mlppak`, `mlpunpak`, `mlpfwd`, `mlpbkp`, `mlpgrad`

Pages: Index

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