Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual mlppak Daniel@0: Daniel@0: Daniel@0: Daniel@0:

mlppak Daniel@0:

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Daniel@0: Purpose Daniel@0:

Daniel@0: Combines weights and biases into one weights vector. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

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Daniel@0: w = mlppak(net)
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Daniel@0: Daniel@0: Daniel@0:

Daniel@0: Description Daniel@0:

Daniel@0: w = mlppak(net) takes a network data structure net and Daniel@0: combines the component weight matrices bias vectors into a single row Daniel@0: vector w. The facility to switch between these two Daniel@0: representations for the network parameters is useful, for example, in Daniel@0: training a network by error function minimization, since a single Daniel@0: vector of parameters can be handled by general-purpose optimization Daniel@0: routines. Daniel@0: Daniel@0:

The ordering of the paramters in w is defined by Daniel@0:

Daniel@0: 
Daniel@0:   w = [net.w1(:)', net.b1, net.w2(:)', net.b2];
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Daniel@0: Daniel@0: where w1 is the first-layer weight matrix, b1 is the Daniel@0: first-layer bias vector, w2 is the second-layer weight matrix, Daniel@0: and b2 is the second-layer bias vector. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: mlp, mlpunpak, mlpfwd, mlperr, mlpbkp, mlpgrad

Daniel@0: Pages: Daniel@0: Index Daniel@0:

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