Practice - Model Optimization for Edge AI
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Practice Questions
Test your understanding with targeted questions
What is quantization?
💡 Hint: Think about how we simplify fractions.
What does pruning do to a neural network?
💡 Hint: It's similar to trimming a tree.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What technique reduces the precision of model weights?
💡 Hint: Think about how numbers are represented.
True or False: Pruning always increases the accuracy of the model.
💡 Hint: Consider the trade-offs.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a tinyML project for remote environmental sensing. Explain how you would optimize the model for edge deployment.
💡 Hint: Think about power efficiency.
Analyze the trade-offs when using pruning vs quantization on a deep learning model.
💡 Hint: Consider how they both impact performance and deployment.
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Reference links
Supplementary resources to enhance your learning experience.