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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the recommended range for normalizing image pixel values?
💡 Hint: Consider the typical range of pixel values in images.
Question 2
Easy
Which Keras layer is primarily used to reduce dimensionality in a CNN?
💡 Hint: Think about layers that simplify feature maps.
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 primary purpose of normalization in image preprocessing?
- To reduce dimensionality
- To adjust the scale of pixel values
- To improve model interpretability
💡 Hint: Remember the range we aim for with pixel values.
Question 2
True or False: Pooling layers increase parameters in a CNN.
- True
- False
💡 Hint: Consider what pooling does to the data size.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
How might the architecture of a CNN change if it were designed to classify high-resolution images compared to standard CIFAR-10 images?
💡 Hint: Consider how detail changes with higher resolution.
Question 2
Discuss the impact of adding dropout layers in a CNN. Where would you place them, and what benefits would they offer?
💡 Hint: Think about the balance between learning and overfitting.
Challenge and get performance evaluation