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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does an artificial neural network (ANN) mimic?
💡 Hint: Think about biological structures.
Question 2
Easy
Name the three types of layers in a neural network.
💡 Hint: Recall the purpose of each layer.
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 Sigmoid activation function do?
- Outputs the input value
- Squashes input to a range between 0 and 1
- Returns the max of 0 and input
💡 Hint: Think about its application in binary classification.
Question 2
True or False: The ReLU function can output negative values.
- True
- False
💡 Hint: Recall the definition of ReLU.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a simple neural network architecture for a binary classification problem. Justify the number of layers and activation functions you would use.
💡 Hint: Think about how many features you may have and what your output needs to be.
Question 2
Explain the vanishing gradient problem and how activation functions like ReLU can help mitigate it.
💡 Hint: Consider the implications of different activation functions on the gradient.
Challenge and get performance evaluation