Practice Gradient Descent - 6.4.1 | 6. Optimization Techniques | Numerical Techniques
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the primary goal of Gradient Descent?

πŸ’‘ Hint: Think about what we aim to solve in optimization.

Question 2

Easy

What does the learning rate determine in Gradient Descent?

πŸ’‘ Hint: How quickly do you want to move toward the solution?

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 does Gradient Descent aim to optimize?

  • Maximize a function
  • Minimize a function
  • Both

πŸ’‘ Hint: Think about the general goal of optimization.

Question 2

True or False: The learning rate must always be 1 for Gradient Descent.

  • True
  • False

πŸ’‘ Hint: Does it have to be a specific number?

Solve 2 more questions and get performance evaluation

Challenge Problems

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.

πŸ’‘ 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.

πŸ’‘ Hint: What might happen if we never adjust based on individual data points?

Challenge and get performance evaluation