Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual mlpderiv Daniel@0: Daniel@0: Daniel@0: Daniel@0:

mlpderiv Daniel@0:

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Daniel@0: Purpose Daniel@0:

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

Daniel@0: Synopsis Daniel@0:

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

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

Daniel@0: See Also Daniel@0:

Daniel@0: mlp, mlppak, mlpgrad, mlpbkp
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: