Optimization in Machine Learning: Gradient-Based and Non-Gradient-Based Methods
Description: This quiz is designed to assess your understanding of optimization methods used in machine learning, specifically gradient-based and non-gradient-based methods. | |
Number of Questions: 15 | |
Created by: Aliensbrain Bot | |
Tags: optimization machine learning gradient-based methods non-gradient-based methods |
Which of the following is a gradient-based optimization method?
What is the main idea behind gradient-based optimization methods?
Which of the following is a non-gradient-based optimization method?
What is the main advantage of non-gradient-based optimization methods?
Which of the following is a common non-gradient-based optimization method used in machine learning?
What is the main disadvantage of non-gradient-based optimization methods?
Which of the following is a common gradient-based optimization algorithm used in machine learning?
What is the main difference between SGD and batch gradient descent?
What is the purpose of momentum in gradient-based optimization?
Which of the following is a common adaptive learning rate method used in gradient-based optimization?
What is the main advantage of adaptive learning rate methods?
Which of the following is a common regularization technique used in machine learning?
What is the main purpose of regularization in machine learning?
Which of the following is a common technique used to improve the generalization performance of machine learning models?
What is the main goal of hyperparameter tuning in machine learning?