Practice Import Keras Components (6.5.2.2.1) - Introduction to Deep Learning (Weeks 12)
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Import Keras Components

Practice - Import Keras Components

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What function do you use to create a sequential model in Keras?

💡 Hint: Think about how you structure a list of layers.

Question 2 Easy

What does the Conv2D layer do?

💡 Hint: Remember, it’s about detecting patterns.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the purpose of the MaxPooling2D layer?

To reduce computational load
To enhance image resolution
To flatten the feature maps

💡 Hint: Think about the effect pooling has on dimensionality.

Question 2

True or False: The Flatten layer converts 3D data into a 1D vector.

True
False

💡 Hint: Consider how data needs to be formatted for the Dense layers.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a basic CNN architecture for classifying images from CIFAR-10 using Keras. Explain your choice of layers and parameters.

💡 Hint: Consider the impact of layer depth on feature learning.

Challenge 2 Hard

Critique a proposed CNN model that omits pooling layers between convolutional layers. What issues may arise from this design?

💡 Hint: Think about the role of pooling in simplifying the representation.

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Reference links

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