Practice - Self-Reflection Questions for Students
Practice Questions
Test your understanding with targeted questions
What are two limitations of using ANNs directly on high-resolution images?
💡 Hint: Think about the size of the input and the number of connections.
What does a pooling layer do?
💡 Hint: Consider what happens to dimensions after pooling.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is one main benefit of using pooling layers in CNNs?
💡 Hint: Think about how pooling impacts dimensions.
True or False: Dropout increases the risk of overfitting.
💡 Hint: Recall the function of Dropout.
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Challenge Problems
Push your limits with advanced challenges
Design a CNN architecture suitable for a medical imaging task using the principles of Transfer Learning. Describe your architecture and justify your choices.
💡 Hint: Consider how medical images might require specific feature extraction.
Explain how you would address both computational efficiency and accuracy in a large-scale image classification problem, referencing CNN mechanisms.
💡 Hint: Focus on interaction between model size and performance.
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Reference links
Supplementary resources to enhance your learning experience.