Which of the following is NOT a hyperparameter in L2 regularization?Question 1AnswerA.AlphaB. Learning rateC.Batch sizeD.Epochs
Question
Solution 1
The answer is B. Learning rate.
Here's why:
A. Alpha: This is indeed a hyperparameter in L2 regularization. It determines the amount of shrinkage: the larger the value of alpha, the greater the amount of shrinkage and thus the coefficients become more robust to collinearity.
B. Learning rate: Th Knowee AI is a powerful AI-powered study tool designed to help you to solve study problem.
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