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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Gradient Descent?
π‘ Hint: Think about finding the lowest point when you can't see the landscape.
Question 2
Easy
What does the learning rate (Ξ±) control?
π‘ Hint: How quickly do you want to adjust your position?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of Gradient Descent?
- To maximize errors
- To minimize errors
- To stabilize learning
π‘ Hint: Remember its role in optimization.
Question 2
True or False? Batch Gradient Descent uses a single data point for each update.
- True
- False
π‘ Hint: Think about how 'batch' implies completeness.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an algorithm to implement Batch Gradient Descent for a linear regression model. Discuss how you would handle different learning rates and termination conditions.
π‘ Hint: What might you monitor to determine when to stop updating?
Question 2
Compare the convergence behavior of Stochastic Gradient Descent and Batch Gradient Descent on a noisy dataset. What adjustments might you suggest to improve performance?
π‘ Hint: How can the size of batches employed help manage noise?
Challenge and get performance evaluation