From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001 From: ziejd2 Date: Thu, 28 Sep 2017 15:04:40 -0500 Subject: BNW using Octave instead of Matlab. This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02 --- sourcecodes/bnt-master/nethelp3.3/mlppak.htm | 55 ++++++++++++++++++++++++++++ 1 file changed, 55 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/mlppak.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/mlppak.htm') diff --git a/sourcecodes/bnt-master/nethelp3.3/mlppak.htm b/sourcecodes/bnt-master/nethelp3.3/mlppak.htm new file mode 100644 index 00000000..aa038f46 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/mlppak.htm @@ -0,0 +1,55 @@ + + + +Netlab Reference Manual mlppak + + + +

mlppak +

+Purpose +

+Combines weights and biases into one weights vector. + +

+Synopsis +

+w = mlppak(net)
+

+ + +

+Description +

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

The ordering of the paramters in w is defined by +

+
+  w = [net.w1(:)', net.b1, net.w2(:)', net.b2];
+

+ +where w1 is the first-layer weight matrix, b1 is the +first-layer bias vector, w2 is the second-layer weight matrix, +and b2 is the second-layer bias vector. + +

+See Also +

+mlp, mlpunpak, mlpfwd, mlperr, mlpbkp, mlpgrad

+Pages: +Index +