wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual netgrad wolffd@0: wolffd@0: wolffd@0: wolffd@0:

netgrad wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Evaluate network error gradient for generic optimizers wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

wolffd@0: 
wolffd@0: g = netgrad(w, net, x, t)
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wolffd@0: Description wolffd@0:

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g = netgrad(w, net, x, t) takes a weight vector w and a network wolffd@0: data structure net, together with the matrix x of input wolffd@0: vectors and the matrix t of target vectors, and returns the wolffd@0: gradient of the error function evaluated at w. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: mlp, neterr, netopt
wolffd@0: Pages: wolffd@0: Index wolffd@0:
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Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: