Used to scale features that are too large or too small, which causes Gradient Descent Algorithm to run slower. One straight-forward way is to divide all the features by the biggest feature.
Jul 25, 20251 min read
Used to scale features that are too large or too small, which causes Gradient Descent Algorithm to run slower. One straight-forward way is to divide all the features by the biggest feature.