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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define a convex function.
π‘ Hint: Think about the properties of the graph of a function.
Question 2
Easy
What does a local minimum mean?
π‘ Hint: Consider how it compares to the rest of the function.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a characteristic of a convex function?
π‘ Hint: Think about the direction of the line segment when plotted.
Question 2
True or False: Non-convex functions guarantee a global minimum.
π‘ Hint: Remember the definition of non-convexity.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Suppose you have a neural network with a complex loss surface. Discuss strategies to mitigate the problem of getting stuck in local minima.
π‘ Hint: Consider recent advancements in optimization algorithms.
Question 2
Given a convex function, describe the steps you would take to optimize it using Gradient Descent.
π‘ Hint: Think about the iterative process and key settings involved.
Challenge and get performance evaluation