1.5 - Loss functions: Cross-entropy, MSE, Hinge
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Practice Questions
Test your understanding with targeted questions
What is cross-entropy loss used for?
💡 Hint: Think about tasks where categories are involved.
What does MSE stand for and what does it measure?
💡 Hint: Consider what happens with predictions that are wrong.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What type of problem does cross-entropy loss primarily address?
💡 Hint: Think about what cross-entropy handles in models.
True or False: Mean Squared Error is used in classification problems.
💡 Hint: Consider the type of outcomes MSE deals with.
1 more question available
Challenge Problems
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Given the predicted values [3, -0.5, 2, 7] and actual values [2.5, 0.0, 2, 8], calculate the MSE.
💡 Hint: Remember to square each difference before summation.
Discuss a scenario where hinge loss would be more beneficial than cross-entropy loss in machine learning.
💡 Hint: Consider the types of models you might encounter.
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