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Diffstat (limited to 'sourcecodes/bnt-master/netlab3.3/mlpunpak.m')
| -rw-r--r-- | sourcecodes/bnt-master/netlab3.3/mlpunpak.m | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/netlab3.3/mlpunpak.m b/sourcecodes/bnt-master/netlab3.3/mlpunpak.m new file mode 100644 index 00000000..c2b16b5f --- /dev/null +++ b/sourcecodes/bnt-master/netlab3.3/mlpunpak.m @@ -0,0 +1,39 @@ +function net = mlpunpak(net, w) +%MLPUNPAK Separates weights vector into weight and bias matrices. +% +% Description +% NET = MLPUNPAK(NET, W) takes an mlp network data structure NET and a +% weight vector W, and returns a network data structure identical to +% the input network, except that the first-layer weight matrix W1, the +% first-layer bias vector B1, the second-layer weight matrix W2 and the +% second-layer bias vector B2 have all been set to the corresponding +% elements of W. +% +% See also +% MLP, MLPPAK, MLPFWD, MLPERR, MLPBKP, MLPGRAD +% + +% Copyright (c) Ian T Nabney (1996-2001) + +% Check arguments for consistency +errstring = consist(net, 'mlp'); +if ~isempty(errstring); + error(errstring); +end + +if net.nwts ~= length(w) + error('Invalid weight vector length') +end + +nin = net.nin; +nhidden = net.nhidden; +nout = net.nout; + +mark1 = nin*nhidden; +net.w1 = reshape(w(1:mark1), nin, nhidden); +mark2 = mark1 + nhidden; +net.b1 = reshape(w(mark1 + 1: mark2), 1, nhidden); +mark3 = mark2 + nhidden*nout; +net.w2 = reshape(w(mark2 + 1: mark3), nhidden, nout); +mark4 = mark3 + nout; +net.b2 = reshape(w(mark3 + 1: mark4), 1, nout); |
