y = mlpfwd(net, x) [y, z] = mlpfwd(net, x) [y, z, a] = mlpfwd(net, x)
y = mlpfwd(net, x)
takes a network data structure net
together with
a matrix x
of input vectors, and forward propagates the inputs
through the network to generate a matrix y
of output
vectors. Each row of x
corresponds to one input vector and each
row of y
corresponds to one output vector.
[y, z] = mlpfwd(net, x)
also generates a matrix z
of the hidden
unit activations where each row corresponds to one pattern.
[y, z, a] = mlpfwd(net, x)
also returns a matrix a
giving the summed inputs to each output unit, where each row
corresponds to one pattern.
mlp
, mlppak
, mlpunpak
, mlperr
, mlpbkp
, mlpgrad
Copyright (c) Ian T Nabney (1996-9)