6.4.1 - Gradient Descent
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is the primary goal of Gradient Descent?
💡 Hint: Think about what we aim to solve in optimization.
What does the learning rate determine in Gradient Descent?
💡 Hint: How quickly do you want to move toward the solution?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does Gradient Descent aim to optimize?
💡 Hint: Think about the general goal of optimization.
True or False: The learning rate must always be 1 for Gradient Descent.
💡 Hint: Does it have to be a specific number?
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a quadratic function, derive the first few steps using Gradient Descent, assuming a learning rate of 0.1.
💡 Hint: Use the derivative to determine the gradient, then apply the update formula.
Discuss a scenario in which Stochastic Gradient Descent may provide better results than Batch Gradient Descent.
💡 Hint: What might happen if we never adjust based on individual data points?
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.