About Neural Network Training Process

Hello, I am facing some problems on the training process with my data set. Here is my situation, I have 25 images in 1 set(total of image set is 24) and each of them is slightly different to each other. So after I extracted the feature, says mean of the image, I store inside an array with size of 25. Of course the mean is just one of the feature and when I want to pass the feature to a matrix X(1, 1), should I use the average value X(1,1) = sum(mean)/25? Or there is another method to do it better? Thank you.

Answer 1

[Greg Heath]

If you have I input featues and O Output categories, the sizes of the input and target matrices are

 [ I N ] = size(input)
 [ O N ] = size(target)

Hope this helps.

Thank you for formally accepting my answer

Greg