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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary purpose of an activation function?
💡 Hint: Think about what decisions a neuron needs to make.
Question 2
Easy
Can you name one advantage of the Sigmoid activation function?
💡 Hint: Recall what happens to graphs with smooth edges.
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 type of output does the Sigmoid function provide?
- 0 to 1
- Negative infinity to positive infinity
- Discrete values
💡 Hint: Think about the output range.
Question 2
Is ReLU prone to the vanishing gradient problem?
- True
- False
💡 Hint: Consider how gradients work for ReLU.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a neural network with three hidden layers. Describe the effects of choosing ReLU versus Sigmoid in the hidden layers.
💡 Hint: Consider how each activation function behaves with varying inputs.
Question 2
Given a dataset with binary outcomes, justify your choice of activation function for the output layer.
💡 Hint: Think about how the output probabilities should behave.
Challenge and get performance evaluation