Hi, can anybody help with some guidance on neural network for classification ?
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I'm working on optical character recognition problem. I've successfully extracted features which is a [1X32] matrix ('ve extracted 32 features from each segmented character). I've the complete training data set (the images of every individual character), but the problem is that I am not getting how to create Input & Target data set matrices.
Any help would be greatly appreciated.
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Accepted Answer
Greg Heath
on 26 May 2014
In general
[ I N ] = size(input) % I = 32
[ O N ] = size(target) % O = 36
where the columns of target are columns of eye(36).
go to
help nndatasets
doc nndatasets
to see how the matrices of the classification examples are set up.
Hope this helps
Thank you for formally accepting my answers
Greg
2 Comments
Greg Heath
on 6 Jun 2014
I don't understand the 258. 36 is the typical count for English 26(A-Z)+10(0-9) or perhaps 62 if lower case (a-z) is allowed. Well, even more if punctuation marks are included.
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