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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What function do you use to create a sequential model in Keras?
💡 Hint: Think about how you structure a list of layers.
Question 2
Easy
What does the Conv2D layer do?
💡 Hint: Remember, it’s about detecting patterns.
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 purpose of the MaxPooling2D layer?
- To reduce computational load
- To enhance image resolution
- To flatten the feature maps
💡 Hint: Think about the effect pooling has on dimensionality.
Question 2
True or False: The Flatten layer converts 3D data into a 1D vector.
- True
- False
💡 Hint: Consider how data needs to be formatted for the Dense layers.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a basic CNN architecture for classifying images from CIFAR-10 using Keras. Explain your choice of layers and parameters.
💡 Hint: Consider the impact of layer depth on feature learning.
Question 2
Critique a proposed CNN model that omits pooling layers between convolutional layers. What issues may arise from this design?
💡 Hint: Think about the role of pooling in simplifying the representation.
Challenge and get performance evaluation