Quiz
1. What typically causes underfitting in a machine learning model?
2. Which of the following is not a key method of regularization?
3. What is a common effect of applying regularization on a neural network's training and validation loss?
4. What does Batch Normalization achieve that is similar to the effects of traditional regularization methods?
5. Where is Batch Normalization typically applied in a layer sequence?
6. How does L1 regularization affect a model's weights?
7. In the context of regularization, what is the purpose of the λ parameter?
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Секція 2. Розділ 7
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Quiz
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1. What typically causes underfitting in a machine learning model?
2. Which of the following is not a key method of regularization?
3. What is a common effect of applying regularization on a neural network's training and validation loss?
4. What does Batch Normalization achieve that is similar to the effects of traditional regularization methods?
5. Where is Batch Normalization typically applied in a layer sequence?
6. How does L1 regularization affect a model's weights?
7. In the context of regularization, what is the purpose of the λ parameter?
Все було зрозуміло?
Дякуємо за ваш відгук!
Секція 2. Розділ 7