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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary role of the input layer in a CNN?
💡 Hint: Think about what data starts the flow in a neural network.
Question 2
Easy
Name one type of pooling operation commonly used in CNNs.
💡 Hint: What method keeps the highest values in a region?
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 function of a convolutional layer?
- To reduce image size.
- To detect features in the input.
- To perform the final classification.
💡 Hint: Think about what happens when the filters are applied.
Question 2
True or False: The pooling layer increases the spatial dimensions and the number of parameters.
- True
- False
💡 Hint: What is the goal of pooling?
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a CNN architecture for a dataset with very small images (e.g., 28x28) and discuss how you would adjust the number of filters and layers.
💡 Hint: Consider how image size influences the architecture design.
Question 2
Evaluate the trade-offs between using a deeper CNN with many layers versus a simpler CNN with fewer layers for a dataset of moderate complexity.
💡 Hint: What is the potential risk of deeper networks?
Challenge and get performance evaluation