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Quiz on PyTorch

Quiz on PyTorch

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Question 1 of 10

1. Question

What is PyTorch mainly used for?

Web development
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Data visualization
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Deep learning and neural networks
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Operating system design
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Question 2 of 10

2. Question

PyTorch is developed and maintained by which organization?

Google
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Microsoft
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Facebook (Meta)
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IBM
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Question 3 of 10

3. Question

What is a Tensor in PyTorch?

A neural network layer
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A type of data loader
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A multi-dimensional array like NumPy’s ndarray
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A data visualization tool
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Question 4 of 10

4. Question

Which function is used to create a tensor with random values in PyTorch?

torch.array()
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torch.random()
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torch.rand()
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torch.randn_array()
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Question 5 of 10

5. Question

Which of the following correctly moves a tensor to GPU in PyTorch?

tensor.move(‘cuda’)
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tensor.to(gpu=True)
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tensor.to(‘cuda’)
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tensor.cuda.enable()
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Question 6 of 10

6. Question

In PyTorch, which module is used to build neural network layers?

torch.tensor
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torch.nn
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torch.net
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torch.learn
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Question 7 of 10

7. Question

What does autograd in PyTorch do?

Automatically saves files to disk
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Helps load datasets from the web
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Automatically computes gradients for backpropagation
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Converts tensors to CSV format
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Question 8 of 10

8. Question

What is the purpose of torch.utils.data.DataLoader?

To display neural network architecture
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To load and batch datasets efficiently
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To compile Python code
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To update model parameters
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Question 9 of 10

9. Question

Which of the following is commonly used for loss calculation in classification tasks?

nn.MSELoss()
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nn.CrossEntropyLoss()
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nn.AbsoluteLoss()
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nn.MarginLoss()
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Question 10 of 10

10. Question

What is the default data type for a PyTorch tensor created using torch.tensor([1, 2, 3])?

torch.float32
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torch.int64
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torch.bool
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torch.float64
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