Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual glmderiv Daniel@0: Daniel@0: Daniel@0: Daniel@0:

glmderiv Daniel@0:

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Daniel@0: Purpose Daniel@0:

Daniel@0: Evaluate derivatives of GLM outputs with respect to weights. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

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Daniel@0: g = glmderiv(net, x)
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Daniel@0: Description Daniel@0:

Daniel@0: g = glmderiv(net, x) takes a network data structure net and a matrix Daniel@0: of input vectors x and returns a three-index matrix mat{g} whose Daniel@0: i, j, k Daniel@0: element contains the derivative of network output k with respect to Daniel@0: weight or bias parameter j for input pattern i. The ordering of the Daniel@0: weight and bias parameters is defined by glmunpak. Daniel@0: Daniel@0:

Daniel@0: See also Daniel@0:

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Daniel@0: glm, glmunpak, glmgrad
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Daniel@0: Pages: Daniel@0: Index Daniel@0:
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Copyright (c) Ian T Nabney (1996-9) Daniel@0: Daniel@0: Daniel@0: Daniel@0: