How can I use Six different target matrices and One input matrix on Neural Network?
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I have six different matrices resulting from training of six classes, with each having O's and 1's. Please how do I combine it so I could produce a single confusion matrix using the Neural Network Toolbox. My input matrix already has in it 1,2,3,4,5,6 to show six different classes already gotten. Thank you in advance.
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Greg Heath
on 6 Nov 2014
Edited: Greg Heath
on 6 Nov 2014
[ I N ] = size(input)% N I-dimensional input vectors
[c N ] = size(target)% corresponding N c-dimensional {0,1} unit target vectors for c=6 classes
% sum(target) = ones(1,N)
trueclassindices = vec2ind(target)
target = ind2vec(trueclassindices)
Hope this helps
Thank you for formally accepting my answer
Greg
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Greg Heath
on 13 Nov 2014
>> lookfor roitool roitool not found.
Sorry, I am still confused.
Perhaps IMAGEANALYST or someone else can help
Greg
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