Practice Activities (6.5.2) - Introduction to Deep Learning (Weeks 12)
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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is one key advantage of normalizing your dataset?

💡 Hint: Consider the impact of pixel values on computations.

Question 2 Easy

What does a convolutional layer do?

💡 Hint: Think about how your eyes perceive images.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of normalization in dataset preparation?

To increase data size
To improve model performance
To change class labels

💡 Hint: Think about how it might help the training process.

Question 2

True or False: Pooling layers can be used for reducing dimensionality.

True
False

💡 Hint: Recall how pooling compresses the information.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a CNN architecture for a new dataset you have and justify your choices of layer configurations.

💡 Hint: Consider the nature of the data and how different layers contribute to feature learning.

Challenge 2 Hard

Perform a comparative analysis between using a larger batch size versus a smaller batch size during training.

💡 Hint: Think about how the batch size impacts the training dynamics and optimization.

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