MATLAB: In pattern recognition using neural network what should be the output

Deep Learning Toolboxneural network

Suppose I want to recognise a particular face I am extracting sift points from it and feeding it as a input vector . Then what should be the output ? I am talking during the training phase .
How are outputs decided for a particular type of input pattern?

Best Answer

% For c classification categories numbered 1:c, use a classindex row vector
 classind = [ 5 3 1 4 2  5 4 3 2 1 ]
 N  = length(classind)
% The corresponding target matrix is obtained using the ind2vec command
 target = full(ind2vec(classind))
% The corresponding output will be a matrix of the same size
 outind = vec2ind(output)
 err = outind ~= classind
 Nerr = sum(err)
 PctErr = 100*Nerr/N
%Obviously, more is needed to obtain error rates for individual classes.
A search of both the NEWSGROUP and ANSWERS using
 greg patternnet
should yield details.
Hope this helps.
Thank you for formally accepting my answer.
Greg
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