Understanding Vector Norms in Machine Learning (L1 and L2 norms, unit balls, and NumPy)
This video explains the concept of norm for vectors from the machine learning perspective. Norm is a function that maps a vector to a positive value and a special case is the L-p norm, where p is greater than or equal to 1. Examples include the popular L1 and L2 norms in machine learning and deep learning. This video shows how to find L1 and L2 unit balls using Python and NumPy. This is very helpful for understanding regularization in machine learning.
#machinelearning #L1norm #L2norm