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 pruning in AI?
💡 Hint: Think about simplifying a complex structure.
Question 2
Easy
Name the two types of pruning discussed.
💡 Hint: One focuses on connections, the other on entire neurons.
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 main purpose of pruning in AI?
- To increase model size
- To remove unnecessary weights
- To add more nodes
💡 Hint: Think about what pruning does to complexity.
Question 2
True or False: Pruning may reduce the model's accuracy.
- True
- False
💡 Hint: What happens if essential components are removed?
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a neural network composed of 10,000 weights. If 30% of its weights are pruned, what will be the new total number of weights? Discuss the potential implications of this pruning on computation.
💡 Hint: Think percentages here!
Question 2
Design an experiment to compare the effectiveness of weight pruning versus node pruning on a specific AI model. What metrics will you measure?
💡 Hint: What do you want to find out about each pruning effect?
Challenge and get performance evaluation