3.2 - Pruning
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Practice Questions
Test your understanding with targeted questions
What is pruning in AI?
💡 Hint: Think about simplifying a complex structure.
Name the two types of pruning discussed.
💡 Hint: One focuses on connections, the other on entire neurons.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of pruning in AI?
💡 Hint: Think about what pruning does to complexity.
True or False: Pruning may reduce the model's accuracy.
💡 Hint: What happens if essential components are removed?
1 more question available
Challenge Problems
Push your limits with advanced challenges
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!
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?
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