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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the input layer do in a CNN?
💡 Hint: Think about what happens first when an image is fed into the network.
Question 2
Easy
What does a feature map represent?
💡 Hint: Consider what happens after applying filters to the image.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary function of the input layer in a CNN?
💡 Hint: Think about where the process starts.
Question 2
True or False: The pooling layer increases the size of the feature maps.
💡 Hint: How does pooling affect data size?
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Design a simple CNN structure using the discussed layers and define what each layer’s function will be on an image of your choice.
💡 Hint: Think about how each layer processes the image step by step and what features are important.
Question 2
Explain why the ReLU activation function is preferred over others in CNN architecture.
💡 Hint: Consider what happens to negative values and how this impacts learning.
Challenge and get performance evaluation