Normalization

#machine-learning #deep-learning
Normalization

Normalization is the process of transforming raw values to standard range of values, typically [0, 1] or [-1, 1]

x¯=xi−minmax−min
Why Normalization?

  • It increases learning speed; hence fast convergence
  • If no normalization, then big numeric features dominate the learning

Also known as Min Max Normalization

Related Notes