Practice Compiling the CNN - 6.5.2.3 | Module 6: Introduction to Deep Learning (Weeks 12) | Machine Learning
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6.5.2.3 - Compiling the CNN

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a filter in a CNN?

πŸ’‘ Hint: Think of it as a template for looking at data.

Question 2

Easy

What does pooling do in a CNN?

πŸ’‘ Hint: It helps in summarizing the information.

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 convolutional layers in a CNN?

  • To reduce dimensionality
  • To perform feature extraction
  • To normalize outputs

πŸ’‘ Hint: Think about what CNNs do for image understanding.

Question 2

True or False: Batch normalization is used to increase the learning rate during CNN training.

  • True
  • False

πŸ’‘ Hint: Consider stability vs. acceleration.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a CNN architecture for distinguishing different species of flowers from images, incorporating dropout and batch normalization.

πŸ’‘ Hint: Consider the diversity of features present in flower images.

Question 2

Analyze the impact of modifying the filter size from 3x3 to 5x5 in a convolutional layer. What are the potential advantages or disadvantages?

πŸ’‘ Hint: Think about how bigger tools can gather more but might overlook finer details.

Challenge and get performance evaluation