Practice - Gradient Descent
Practice Questions
Test your understanding with targeted questions
What is Gradient Descent?
💡 Hint: Think about finding the lowest point when you can't see the landscape.
What does the learning rate (α) control?
💡 Hint: How quickly do you want to adjust your position?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of Gradient Descent?
💡 Hint: Remember its role in optimization.
True or False? Batch Gradient Descent uses a single data point for each update.
💡 Hint: Think about how 'batch' implies completeness.
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Challenge Problems
Push your limits with advanced challenges
Design an algorithm to implement Batch Gradient Descent for a linear regression model. Discuss how you would handle different learning rates and termination conditions.
💡 Hint: What might you monitor to determine when to stop updating?
Compare the convergence behavior of Stochastic Gradient Descent and Batch Gradient Descent on a noisy dataset. What adjustments might you suggest to improve performance?
💡 Hint: How can the size of batches employed help manage noise?
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Reference links
Supplementary resources to enhance your learning experience.