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Practice Questions
Test your understanding with targeted questions related to the topic.
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.
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 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.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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?
Question 2
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.
Challenge and get performance evaluation