MATLAB: Perform command in neural netwrok

deep learningneural networkperformance

I cant understand how perform function works in neural network! at the end of this page in section 5: https://www.mathworks.com/help/nnet/gs/classify-patterns-with-a-neural-network.html?requestedDomain=www.mathworks.com the performance is calculated but without any explanation! what does it mean? is it a good network? In other examples the performance value is 19! which one is better?

Best Answer

 help perform
 doc perform
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    net        = patternnet;
   performFcn = net.performFcn
% performFcn = 'crossentropy' AHA!
 help crossentropy
 doc crossentropy
% Still isn't clear? ... Join the club. I used to know what crossentropy was. However, when I gave technical talks (I'm an engineer, not a physicist) no one else knew or cared. What they wanted was error rates and Rsquare.
My preferences are
 NORMALIZED MEAN SQUARE ERROR NMSE = 1-Rsquare %[ 0,1]
and
 PER CENT ERROR RATE % [ 0, 100]
See my QUICKIES post
Hope this helps.
Thank you for formally accepting my answer
Greg
PS If you are a glutten for punishment, see GOOGLE
greg MATLAB crossentropy  ==> 39,500 hits  (;>)
otherwise see
                               HITS
                      NEWSGROUP    ANSWERS
crossentropy 28 62
crossentropy greg 6 46
Hope this helps.
Thank you for formally accepting my answer
Greg
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