As I know it is recommended to normalize the input to a neural network ($\mu=0,\sigma=1$). Assuming I use a CNN that uses RGB-images as input, how do i have to normalize?
- Over all the data of the complete batch (at once)?
- Each image independent of each other?
- For each $x$/$y$ pair (=pixel) over the batch?
- For each color channel or all at once?
Thank you very much
Or is it sufficient to use a BatchNormalization-Layer as the first layer in the neural network?