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Transfer Learning(DL) QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

What is the primary advantage of using a pre-trained model for transfer learning?

Question: 2

Which type of transfer learning is often used when the source and target tasks are very similar, but there is a lack of labeled data for the target task?

Question: 3

What is the primary goal of model initialization transfer learning?

Question: 4

Which type of transfer learning is often used when the source and target tasks are related but not identical?

Question: 5

What is the primary challenge in zero-shot transfer learning?

Question: 6

Which type of transfer learning is often used when there is a lack of labeled data for the target task?

Question: 7

What is the primary advantage of using a pre-trained model as a feature extractor in feature extraction transfer learning?

Question: 8

Which type of transfer learning is most suitable for situations where computational resources are limited?

Question: 9

What is the primary advantage of feature extraction transfer learning?

Question: 10

In domain adaptation transfer learning, what is the target domain?

Question: 11

What is the primary advantage of fine-tuning transfer learning?

Question: 12

Which type of transfer learning is often used when the source and target tasks are completely unrelated?

Question: 13

What is the primary goal of domain adaptation in transfer learning?

Question: 14

Which type of transfer learning is often used in natural language processing (NLP) for tasks like text classification?

Question: 15

What is the main limitation of zero-shot transfer learning?

Question: 16

What is the primary goal of transfer learning in deep learning?

Question: 17

Which type of transfer learning is often used in computer vision for tasks like image classification?

Question: 18

In transfer learning, what is the source domain?

Question: 19

What is the main challenge in domain adaptation transfer learning?

Question: 20

Which transfer learning approach is best suited for situations where the source and target tasks are very similar?

Question: 21

What is zero-shot transfer learning?

Question: 22

Which type of transfer learning is often used when the source and target domains have some similarities but also differences?

Question: 23

In fine-tuning transfer learning, what is the learning rate typically set for the pre-trained layers?

Question: 24

Which technique is commonly used for feature extraction transfer learning?

Question: 25

In transfer learning, what is domain adaptation?

Question: 26

What is the primary difference between feature extraction transfer learning and fine-tuning transfer learning?

Question: 27

Which type of transfer learning involves fine-tuning all layers of a pre-trained model for a new task?

Question: 28

What is the main advantage of using a pre-trained model for a new task?

Question: 29

Which layer(s) of a pre-trained neural network are typically modified or fine-tuned for a new task in transfer learning?

Question: 30

In transfer learning, what is a pre-trained model?