Practice - Module Objectives (for Week 12)
Practice Questions
Test your understanding with targeted questions
What is a Convolutional Neural Network?
💡 Hint: Think about what types of data have a two-dimensional structure.
What does a pooling layer do?
💡 Hint: Consider how many values are combined in a pooling window.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is a primary benefit of Convolutional Neural Networks over traditional ANNs?
💡 Hint: Think about how CNNs process image data differently than ANNs.
True or False? Dropout helps improve the performance of neural networks by ensuring no single neuron becomes too important.
💡 Hint: Consider why it's important to limit reliance on specific neurons.
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Challenge Problems
Push your limits with advanced challenges
Explain how the architecture of a CNN would change if we were processing video data instead of still images. What additional considerations would need to be made?
💡 Hint: Consider what additional dimensions exist in video data.
Design an experiment where you compare the performance of a custom-built CNN vs. a pre-trained model on the same image classification task. What metrics would you use to evaluate their performance?
💡 Hint: Think about different ways we measure model performance.
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Reference links
Supplementary resources to enhance your learning experience.