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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does it mean when we say CNNs need a large dataset?
💡 Hint: Think about why more examples could help a model learn.
Question 2
Easy
What is overfitting in a CNN?
💡 Hint: Consider what would happen if a model only memorizes its training images.
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 major data requirement for CNNs?
- Small datasets
- Moderate datasets
- Large datasets
💡 Hint: Think about why having more examples helps CNNs.
Question 2
True or False: Overfitting is beneficial for a CNN's performance.
- True
- False
💡 Hint: Consider what happens when a model learns too much detail about training data.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
In a scenario where a CNN has been trained on images of only sunny days, describe how and why its performance would decline on cloudy day images.
💡 Hint: Think about how changing conditions can affect visibility and contrast in images.
Question 2
Suppose a CNN exhibits signs of overfitting. Discuss at least two strategies that could be implemented to mitigate this issue.
💡 Hint: Consider how each method alters the training data or the model itself.
Challenge and get performance evaluation