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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary function of a convolutional layer?
💡 Hint: Think about what filters do to images.
Question 2
Easy
Name two advantages of pooling layers in CNNs.
💡 Hint: Recall the main benefits discussed in class.
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 advantage of convolutional layers over fully connected layers?
- A) Easier to interpret
- B) Reduced number of parameters
- C) More complex architecture
💡 Hint: Think about how filters operate in the context of an entire image.
Question 2
True or False: Pooling layers can help prevent overfitting.
- True
- False
💡 Hint: Recall the purpose of pooling layers discussed in class.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a CNN architecture suitable for classifying handwritten digits using the MNIST dataset. Explain each layer's purpose, including how to implement pooling and dropout.
💡 Hint: Use a basic structure and expand with layers as needed.
Question 2
Imagine you are working on a transfer learning project. Describe how you would adapt a pre-trained CNN to classify images of cats and dogs.
💡 Hint: Focus on how the foundational layers can still be useful while modifying the classification head.
Challenge and get performance evaluation