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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of an activation function in a neural network?
💡 Hint: Think about how a neuron decides to process input.
Question 2
Easy
Name one activation function.
💡 Hint: Consider common functions used in neural networks.
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 of the Sigmoid activation function?
- -1 to 1
- 0 to 1
- 0 and above
💡 Hint: Think about binary outcomes.
Question 2
True or False: ReLU can produce negative outputs.
- True
- False
💡 Hint: What does ReLU do to negative values?
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a neural network with at least three layers using different activation functions. Describe the role of each activation function.
💡 Hint: Think about how each layer's function transforms the data as it passes through.
Question 2
Explain why using only Sigmoid for deep networks can lead to poor learning results.
💡 Hint: Consider how gradients behave with rounded outputs.
Challenge and get performance evaluation