Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/netlab3.3/nethess.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function [h, varargout] = nethess(w, net, x, t, varargin) | |
2 %NETHESS Evaluate network Hessian | |
3 % | |
4 % Description | |
5 % | |
6 % H = NETHESS(W, NET, X, T) takes a weight vector W and a network data | |
7 % structure NET, together with the matrix X of input vectors and the | |
8 % matrix T of target vectors, and returns the value of the Hessian | |
9 % evaluated at W. | |
10 % | |
11 % [E, VARARGOUT] = NETHESS(W, NET, X, T, VARARGIN) also returns any | |
12 % additional return values from the network Hessian function, and | |
13 % passes additional arguments to that function. | |
14 % | |
15 % See also | |
16 % NETERR, NETGRAD, NETOPT | |
17 % | |
18 | |
19 % Copyright (c) Ian T Nabney (1996-2001) | |
20 | |
21 hess_str = [net.type, 'hess']; | |
22 | |
23 net = netunpak(net, w); | |
24 | |
25 [s{1:nargout}] = feval(hess_str, net, x, t, varargin{:}); | |
26 h = s{1}; | |
27 for i = 2:nargout | |
28 varargout{i-1} = s{i}; | |
29 end |