Practice Activation Function (relu) (23.4.3) - Convolutional Neural Network (CNN)
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Activation Function (ReLU)

Practice - Activation Function (ReLU)

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the ReLU activation function do?

💡 Hint: Think about how it handles negative numbers.

Question 2 Easy

Why is ReLU preferred over sigmoid in neural networks?

💡 Hint: Consider how gradients affect the learning process.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the ReLU activation function do?

A. Replaces all values with zero
B. Replaces negative values with zero
C. Keeps all values unchanged

💡 Hint: Remember the main function of ReLU.

Question 2

True or False: ReLU is only used in the output layer of a neural network.

True
False

💡 Hint: Think about where ReLU is applied in the architecture.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Imagine you are training a CNN and notice some neurons consistently output zero. What measures can you implement to improve this situation?

💡 Hint: What alternative activation functions could you utilize?

Challenge 2 Hard

Discuss the impact of ReLU activation on a neural network's performance when dealing with multi-class classification tasks involving sparse data.

💡 Hint: Think about how multi-class tasks can involve varied feature ranges.

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