Practice Model Summary - 6.5.2.2.8 | Module 6: Introduction to Deep Learning (Weeks 12) | Machine Learning
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6.5.2.2.8 - Model Summary

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main purpose of convolutional layers in CNNs?

πŸ’‘ Hint: Think about what the filters do to the images.

Question 2

Easy

Explain what a pooling layer does.

πŸ’‘ Hint: What happens to the size of data in pooling?

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 role of convolutional layers in CNNs?

  • To reduce data size
  • To extract features
  • To provide translation invariance

πŸ’‘ Hint: Think about what processing happens first in CNNs.

Question 2

True or False: Max pooling is used to retain the least significant features from a feature map.

  • True
  • False

πŸ’‘ Hint: What does pooling aim to preserve?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Demonstrate how changing the filter size from 3x3 to 5x5 impacts feature extraction in CNNs. Provide visualizations if necessary.

πŸ’‘ Hint: How might larger filters impact edge detection?

Question 2

Describe the role of parameter sharing in convolutional layers in relation to reducing model complexity and promoting robustness in learning. Provide examples.

πŸ’‘ Hint: Think about how different sections of an image are treated in traditional ANNs versus CNNs.

Challenge and get performance evaluation