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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a loss function?
💡 Hint: Think about its role during model training.
Question 2
Easy
Name one loss function used for regression.
💡 Hint: Recall the type of output in regression tasks.
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 a loss function measure?
- Correlation between inputs
- Difference between predicted and actual values
- Model complexity
💡 Hint: Think about its role in training.
Question 2
Mean Squared Error is used for which type of tasks?
- True (Regression)
- False (Classification)
💡 Hint: Recall the functions suitable for continuous outputs.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A regression model predicts temperatures for a week. Actual temperatures are [70, 72, 68, 65, 71] degrees, and predicted temperatures are [68, 74, 67, 66, 69]. Calculate the MSE.
💡 Hint: Apply the MSE formula step by step.
Question 2
A model is trained for image classification. If the predicted probabilities for a cat class are [0.8, 0.1, 0.2] and the actual classes are [1, 0, 1], calculate the binary cross-entropy loss.
💡 Hint: Use the cross-entropy formula carefully considering the probabilities.
Challenge and get performance evaluation