Practice Training The Cnn (6.5.2.4) - Introduction to Deep Learning (Weeks 12)
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Training the CNN

Practice - Training the CNN

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a Convolutional Neural Network (CNN)?

💡 Hint: Think about how CNNs relate to image processing.

Question 2 Easy

Why are pooling layers used in CNNs?

💡 Hint: Consider how they impact feature maps.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary function of a pooling layer in CNNs?

To enhance spatial relationships
To reduce dimensionality
To increase the number of parameters

💡 Hint: Think about what pooling layers do to the size of feature maps.

Question 2

True or False: Dropout involves using all neurons during training.

True
False

💡 Hint: Consider how some neurons are treated differently during training.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Explain the role of convolutional layers in a CNN and discuss their impact on keeping spatial hierarchies intact. Provide an example of a scenario where this is crucial.

💡 Hint: Consider scenarios in image recognition tasks.

Challenge 2 Hard

You’ve been tasked with improving a CNN model that experiences overfitting. Discuss how you would integrate Dropout and Batch Normalization into your architecture and explain their individual benefits.

💡 Hint: Think about how each method specifically addresses overfitting.

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Reference links

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