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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 in a neural network?
💡 Hint: Think about why we can't use just linear functions.
Question 2
Easy
What output range does a sigmoid function produce?
💡 Hint: It's often used in binary classifications.
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 primary output range of the Sigmoid function?
- -1 to 1
- 0 to 1
- 0 to infinity
💡 Hint: Remember which context it is generally used in.
Question 2
True or False: The Tanh function is centered at zero, while Sigmoid is not.
- True
- False
💡 Hint: Think about the center point of each function.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze and explain why deep neural networks prefer ReLU and its variants over traditional functions like Sigmoid and Tanh for hidden layers.
💡 Hint: Consider how activation functions impact gradient flow during backpropagation.
Question 2
Consider a multi-class classification problem with an output layer using Sigmoid instead of Softmax. Discuss the advantages and disadvantages.
💡 Hint: Reflect on the nature of class probabilities in multi-class scenarios.
Challenge and get performance evaluation