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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of an activation function in a neural network?
💡 Hint: Think about how decisions are made in the network.
Question 2
Easy
Name one activation function that outputs values between 0 and 1.
💡 Hint: Consider functions often used in probability predictions.
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 is the output range of the Sigmoid activation function?
- 0 to 1
- -1 to 1
- 0 to ∞
💡 Hint: Think about its application in predicting probabilities.
Question 2
True or False: The ReLU activation function can output negative values.
- True
- False
💡 Hint: Remember the ReLU function's definition.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a neural network training on a binary classification task. Discuss how the choice of activation function for the output layer influences the network's performance and predictions.
💡 Hint: Think about how the output should express probabilities.
Question 2
Explain how using ReLU instead of Sigmoid in hidden layers impacts learning speed and convergence during training.
💡 Hint: Consider the gradient behaviors of both functions.
Challenge and get performance evaluation