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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary goal of Gradient Descent?
π‘ Hint: Think about what we aim to solve in optimization.
Question 2
Easy
What does the learning rate determine in Gradient Descent?
π‘ Hint: How quickly do you want to move toward the solution?
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Gradient Descent aim to optimize?
π‘ Hint: Think about the general goal of optimization.
Question 2
True or False: The learning rate must always be 1 for Gradient Descent.
π‘ Hint: Does it have to be a specific number?
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given a quadratic function, derive the first few steps using Gradient Descent, assuming a learning rate of 0.1.
π‘ Hint: Use the derivative to determine the gradient, then apply the update formula.
Question 2
Discuss a scenario in which Stochastic Gradient Descent may provide better results than Batch Gradient Descent.
π‘ Hint: What might happen if we never adjust based on individual data points?
Challenge and get performance evaluation