tamimfaratak
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my data set consest of 23800 letter image to 34 letter
each letter has 700 image stored in one folder as training dataset .
and 6800 letter image 200 for any letter as testing dataset
using matlab software
23800 training images 30x30pixel ,350 features
34 class
700 perclass
the input = 350 feature
classes = 34 ( the number of letters)
d= data.X= 350 23800;
t=data.y'=23800 1;
the classifeir is backpropagation neural network
net=newff(minmax(data.X),[50,34],{'tansig','purelin'});
but matlab error
the target matrix must have 34 rows
how can i label 34 classes to all dataset
each letter has 700 image stored in one folder as training dataset .
and 6800 letter image 200 for any letter as testing dataset
using matlab software
23800 training images 30x30pixel ,350 features
34 class
700 perclass
the input = 350 feature
classes = 34 ( the number of letters)
d= data.X= 350 23800;
t=data.y'=23800 1;
the classifeir is backpropagation neural network
net=newff(minmax(data.X),[50,34],{'tansig','purelin'});
but matlab error
the target matrix must have 34 rows
how can i label 34 classes to all dataset