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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does variational inference aim to achieve?
💡 Hint: Think about the computational challenges with complex distributions.
Question 2
Easy
Define Evidence Lower Bound (ELBO).
💡 Hint: Consider it as a measure of how good the approximation is.
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 purpose of variational inference?
- To create exact distributions
- To approximate complex distributions
- To completely eliminate uncertainty
💡 Hint: Consider what challenges arise from complex mathematical modeling.
Question 2
True or False: ELBO is minimized during variational inference.
- True
- False
💡 Hint: Focus on the relationship between optimization and approximation.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a distribution, derive how you would set up a variational inference task, detailing your approximate distribution and the ELBO formulation.
💡 Hint: Focus on the steps of defining distributions.
Question 2
Critically evaluate an application of variational inference in natural language processing. Discuss its advantages and limitations.
💡 Hint: Reflect on resources that outline practical uses in NLP.
Challenge and get performance evaluation