About Neural Network Training Process
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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.
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