Practice Example Architecture (conceptual) (6.2.4.2) - Introduction to Deep Learning (Weeks 12)
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Example Architecture (Conceptual)

Practice - Example Architecture (Conceptual)

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of the input layer in a CNN?

💡 Hint: Think about how images are represented.

Question 2 Easy

Name one function of pooling layers in CNNs.

💡 Hint: Consider what this helps with in terms of computation.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary function of the convolutional layer?

To classify data
To extract features from data
To compress data

💡 Hint: Think about what happens after applying filters.

Question 2

True or False: Pooling layers increase the spatial dimensions of output.

True
False

💡 Hint: What does pooling aim to achieve?

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a conceptual CNN architecture for classifying animal images, explaining the number of layers and types of layers you would include.

💡 Hint: Consider how layered information builds upon one another.

Challenge 2 Hard

Discuss how you would modify a CNN architecture to better handle high-resolution images.

💡 Hint: Think about balancing feature extraction with computational efficiency.

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Reference links

Supplementary resources to enhance your learning experience.