Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual mlpfwd Daniel@0: Daniel@0: Daniel@0: Daniel@0:

mlpfwd Daniel@0:

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Daniel@0: Purpose Daniel@0:

Daniel@0: Forward propagation through 2-layer network. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

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Daniel@0: y = mlpfwd(net, x)
Daniel@0: [y, z] = mlpfwd(net, x)
Daniel@0: [y, z, a] = mlpfwd(net, x)
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Daniel@0: Daniel@0: Daniel@0:

Daniel@0: Description Daniel@0:

Daniel@0: y = mlpfwd(net, x) takes a network data structure net together with Daniel@0: a matrix x of input vectors, and forward propagates the inputs Daniel@0: through the network to generate a matrix y of output Daniel@0: vectors. Each row of x corresponds to one input vector and each Daniel@0: row of y corresponds to one output vector. Daniel@0: Daniel@0:

[y, z] = mlpfwd(net, x) also generates a matrix z of the hidden Daniel@0: unit activations where each row corresponds to one pattern. Daniel@0: Daniel@0:

[y, z, a] = mlpfwd(net, x) also returns a matrix a Daniel@0: giving the summed inputs to each output unit, where each row Daniel@0: corresponds to one pattern. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

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

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

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