Machine Learning, Deep Learning, Neural Networks, Heartbeat, Mlops.
networks, linear regression, or logistic regression—by adding a parameter norm penalty Ω(θ) to the objective function. L2 regularization is also known as ridge regression or Tikhonov regularization. Let’s assume that our objective is to minimize the squared error loss function, which is a function