Practice - Limitations of CNN
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Practice Questions
Test your understanding with targeted questions
What does it mean when we say CNNs need a large dataset?
💡 Hint: Think about why more examples could help a model learn.
What is overfitting in a CNN?
💡 Hint: Consider what would happen if a model only memorizes its training images.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the major data requirement for CNNs?
💡 Hint: Think about why having more examples helps CNNs.
True or False: Overfitting is beneficial for a CNN's performance.
💡 Hint: Consider what happens when a model learns too much detail about training data.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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