% how to domenstrate the name of the classes which the % images belong to after testing the neural network with % real world data? % Asked by Hadeer tawfik on 11 Jul 2016 at 1:43
% 1) Is there a way to name the target classes instead of giving it numeric values?
Yes. But why bother? 0, 1 and 2 are as clear as you can get.
However, the target matrix should have 3-dimensional {0 1} unit vectors obtained from the class indices [ 1 2 3 ]
truclassind = [ 2 1 0 1 2 ]
target = full(ind2vec(1+classind))
Then the estimated classindices are obtained from the output
estclassind = vec2ind(output)-1
% 2) how to tell the user that the image he has belong to class of ( grade1 cataract,, etc) using the net.mat ?
output = net(input)
% 3) Is there a way to make the neural network plot to me to which class every image belongs to ?
Yes, just plot the trueclassind 'bo' and estclassind 'x'
% 4) will i need to automatically generate feature vector for every image the user will upload and pass it to net.mat?
Either that or give the user the subroutine that extracts the conversion from the image.
Hope this helps.
Thank you for formally accepting my answer
Greg
