Implement the cost function with L2 regularization. See formula (2) above.

Maximum Likelihood Estimation is a fundamental statistical method used to estimate model parameters by maximizing the likelihood function of observed data. In data science, MLE serves as the ...

Specifically speaking, we impose a Euclidean regularization constraint on the gradient of the adversarial loss function in order to achieve a narrowing of the robust generalization gap by enhancing ...

Gradient Regularization,Gradient-based Methods,High Computational Overhead,High Frequency Region,Image X,Input Image,Joint Training,Local Details,Neural Network,Optimal Network Parameters,Original ...