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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the three main layers in a neural network?
💡 Hint: Think about how the model receives input, processes it, and outputs a result.
Question 2
Easy
Name one common activation function.
💡 Hint: It helps determine the output of neurons.
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 function do?
- Outputs values between -1 and 1
- Squashes input to (0
- 1)
- Provides linear output
💡 Hint: Remember what happens to input values in the activation function.
Question 2
True or False: Dropout randomly turns off neurons during training to prevent overfitting.
- True
- False
💡 Hint: Think about how this method impacts learning.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
How would you implement dropout in a neural network, and what impact would it have on model performance?
💡 Hint: Consider how random removal helps combat overfitting.
Question 2
Consider a scenario where you notice the vanishing gradient problem in your deep learning model. What strategies might you employ to alleviate this issue?
💡 Hint: Think about how adjusting layers can affect gradient flow.
Challenge and get performance evaluation