e = mlperr(net, x, t)
e = mlperr(net, x, t) takes a network data structure net together
with a matrix x of input vectors and a matrix t of target
vectors, and evaluates the error function e. The choice of error
function corresponds to the output unit activation function. Each row
of x corresponds to one input vector and each row of t
corresponds to one target vector.
[e, edata, eprior] = mlperr(net, x, t) additionally returns the
data and prior components of the error, assuming a zero mean Gaussian
prior on the weights with inverse variance parameters alpha and
beta taken from the network data structure net.
mlp, mlppak, mlpunpak, mlpfwd, mlpbkp, mlpgradCopyright (c) Ian T Nabney (1996-9)