6.3 - Regularization
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Practice Questions
Test your understanding with targeted questions
What is overfitting in machine learning?
💡 Hint: Think about the model's performance on unseen data.
What are the two types of regularization mentioned?
💡 Hint: Recall the names given for each type during the lesson.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of regularization in machine learning?
💡 Hint: Think about what happens when a model loses its ability to generalize.
True or False: L1 regularization can result in some weights being exactly zero.
💡 Hint: Recall the penalty applied in L1 regularization.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Consider a neural network that exhibits significant overfitting during training. Propose a strategy combining L1 and L2 regularization to improve its performance.
💡 Hint: How can combining penalties help create a stronger model?
Explain how you would implement dropout in a training regime for a deep learning model with several layers to balance robustness and performance.
💡 Hint: How do you ensure the model can still learn effectively while using dropout?
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