5. Deep Learning

Regularization Dl — Quiz

Test your understanding of regularization dl with 5 practice questions.

Practice Questions

Question 1

Which of the following regularization techniques explicitly modifies the input data to increase the diversity of the training set?

Question 2

In the context of deep learning, what is the primary purpose of Batch Normalization?

Question 3

Weight decay is a form of L2 regularization. If the original loss function is given by $L(W, b)$ and the regularization parameter is $\lambda$, which of the following correctly represents the modified loss function with weight decay?

Question 4

Which regularization technique is particularly effective at preventing a neural network from relying too heavily on specific neurons, thereby encouraging a more robust and distributed representation?

Question 5

When applying data augmentation to an image dataset, which of the following transformations is least likely to be beneficial for improving model generalization?