I have a feature vector of the size 10000×400(400 samples) and target matrix is 40×400(40 classes).The input feature vecotr for each sample has 10,000 rows which have values like 0 123 212 242 123 45 etc.So I want ot ask that should I normalise all the elements in the rows by using the standard formula:
element of row=(element of row-mean(of column))/standard deviation (if same col).
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