# glmderiv

## Purpose

Evaluate derivatives of GLM outputs with respect to weights.

## Synopsis

    g = glmderiv(net, x)

## Description

`g = glmderiv(net, x)` takes a network data structure `net` and a matrix of input vectors `x` and returns a three-index matrix mat{g} whose `i`, `j`, `k` element contains the derivative of network output `k` with respect to weight or bias parameter `j` for input pattern `i`. The ordering of the weight and bias parameters is defined by `glmunpak`.

## See also

    glm, glmunpak, glmgrad

Pages: Index

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