Professional Courses
Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Categories
Interactive Games
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Typing
Memory
Math
English Adventures
Knowledge
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 related to the topic.
Question 1
Easy
What is overfitting in machine learning?
💡 Hint: Think about the model's performance on unseen data.
Question 2
Easy
What are the two types of regularization mentioned?
💡 Hint: Recall the names given for each type during the lesson.
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 primary purpose of regularization in machine learning?
- To enhance underfitting
- To reduce overfitting
- To avoid bias
💡 Hint: Think about what happens when a model loses its ability to generalize.
Question 2
True or False: L1 regularization can result in some weights being exactly zero.
- True
- False
💡 Hint: Recall the penalty applied in L1 regularization.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a neural network that exhibits significant overfitting during training. Propose a strategy combining L1 and L2 regularization to improve its performance.
💡 Hint: How can combining penalties help create a stronger model?
Question 2
Explain how you would implement dropout in a training regime for a deep learning model with several layers to balance robustness and performance.
💡 Hint: How do you ensure the model can still learn effectively while using dropout?
Challenge and get performance evaluation