MATLAB: How do i know the specifications of that neural network?

Deep Learning Toolboxfingerprintneural network specificationstutorial

I have matlab code that employs neural network for fingerprint matching. i want to know the specifications of the neural network used please tell me how do i know that??
thank you.

Best Answer

How many classification categories, c ?
What is the dimensionality, I, of the input feature column vectors?
How many input column vectors for each class? N1=?,N2=?,...,Nc=?
Total number of input vectors N = sum(i=1:c){Ni}
Target vectors are N c-dimensional (0,1) unit column vectors from eye(c)
MATLAB classification function documentation:
 help patternnet
 doc patternnet
MATLAB classification examples:
 help nndatasets
 doc  nndatasets
Choose Iris flower classification example:
 [ x, t] = iris_dataset;
 [ I N ] = size( x)
 [ c N ] = size( t )
 truclassindices = vec2ind( t );
Test with the default No. of hidden nodes
 H = 10
 net = patternnet( H );
 rng('default')
 [ net tr y e ] = train( net, x, t );
 % y = net( x );
 % e  = t - y ;
 classindices = vec2ind( t );
 err          = classindices ~= truclassindices;
 Nerr         = sum(err)
 PctErr       = 100*Nerr/N
 tr           = tr    % No semicolon to print the training record to screen
% Individual train/val/test errors for each class can be readily obtained by extracting the individual train/val/test indices from the training record tr.
Hope this helps.
Thank you for formally accepting my answer
Greg
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