Thank you very much. Each channel data has different ranges, such as (0,1) or (0, 17).
So when we do the training/testing of neural network, should we normalize each channel into the same range?
If so, maybe I need to use the function “(input - mean) / (std)” ? But this function also can not normalize each channel into the same range.
Should I firstly normalize the data of each channel into the range of (0, 1), and then use “(input - mean) / (std)” to make the data into the range of (-1, 1) ?