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Tensor Basic Concepts in PyTorch QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

What is the result of tensor[::2] in Python slicing?

Question: 2

What can be a challenge when using in-place operations in neural network training with backpropagation?

Question: 3

What is a common use case for in-place operations in optimization algorithms?

Question: 4

What does tensor[-2:-5:-1] represent in Python slicing?

Question: 5

How do you extract all elements from the third column of a 2D tensor in Python?

Question: 6

What is the shape of a tensor resulting from element-wise addition of two tensors with shapes (3, 4) and (3, 4)?

Question: 7

If you have a tensor with shape (5, 1), what is its rank?

Question: 8

What is an important consideration when using in-place operations in a multi-threaded environment?

Question: 9

In deep learning frameworks, what is a potential use case for in-place operations?

Question: 10

What is the result of tensor[1:4:2] in Python slicing?

Question: 11

How do you reverse the order of elements in a one-dimensional tensor in Python?

Question: 12

What does the term "tensor rank" refer to?

Question: 13

If you reshape a tensor with shape (2, 3, 4) into (6, 4), how many axes does the resulting tensor have?

Question: 14

Disadvantage of frequent in-place operations for code readability?

Question: 15

Why prefer in-place operations in deep learning frameworks?

Question: 16

What is the dimensionality of a scalar tensor?

Question: 17

In a 2D tensor, how do you access the element in the second row and third column?

Question: 18

What is the shape of a scalar tensor in TensorFlow?

Question: 19

If you have a tensor with shape (2, 3, 4), how many total elements does it contain?

Question: 20

Which operation is an example of an in-place operation?

Question: 21

What happens when you perform an in-place addition on a tensor?

Question: 22

What does tensor[:3] represent in Python slicing?

Question: 23

How do you access the last element of a one-dimensional tensor in Python?

Question: 24

What does the term "rank" refer to in the context of tensors?

Question: 25

How is the shape of a tensor represented in Python?

Question: 26

What is a potential drawback of frequently using in-place operations?

Question: 27

What is the primary advantage of in-place operations on tensors?

Question: 28

What is the purpose of tensor slicing?

Question: 29

In Python, how would you access the third element of a one-dimensional tensor using indexing?

Question: 30

In a 3D tensor, how many axes (dimensions) are there?