Deep Learning With PyTorch

Challenge yourself with CNNs,RNNs,and transformers.

1. What is the fundamental data structure in PyTorch used for numerical computations?

Tensor Array Matrix DataFrame

2. PyTorch's autograd package automatically computes gradients for tensor operations.

True False

3. Which of the following are valid activation functions in PyTorch?

ReLU Sigmoid Tanh Linear

4. What does the abbreviation 'CNN' stand for in deep learning?

5. Which PyTorch class is used as the base for defining custom neural networks?

nn.Module nn.Sequential nn.Linear torch.Tensor

6. In PyTorch, the 'backward()' method is called on a loss tensor to compute gradients.

True False

7. Which of the following are optimizers available in the torch.optim module?

SGD Adam RMSprop GradientDescent

8. What PyTorch function initializes a tensor filled with zeros? (format: torch.zeros)

9. Which method is used to move a PyTorch tensor to a GPU?

.to('cuda') .gpu() .device('gpu') .move('cuda')

10. PyTorch's nn.CrossEntropyLoss combines the LogSoftmax activation and NLLLoss (Negative Log Likelihood Loss).

True False

11. Which of the following are layer classes in PyTorch's nn module?

nn.Conv2d nn.Linear nn.RNN nn.Activation

12. What is the full form of 'ReLU'?

13. By default, what is the data type of a tensor created with torch.tensor([1, 2, 3])?

torch.float32 torch.int64 torch.float64 torch.int32

14. PyTorch requires manual specification of gradients for all tensor operations.

True False

15. Which loss functions are suitable for regression tasks in PyTorch?

MSELoss L1Loss CrossEntropyLoss BCELoss

16. Name the PyTorch built-in dataset containing handwritten digit images (abbrev.)

17. Which parameter in a PyTorch tensor enables gradient tracking?

requires_grad=True track_grad=True grad_enable=True autograd=True

18. nn.Sequential is a PyTorch container for stacking modules in sequence, where each module's output is the input to the next.

True False

19. Which of the following are in-place operations in PyTorch (modify the tensor itself)?

.add_() .mul() .sub_() .div()

20. What PyTorch subpackage provides utilities for loading and preprocessing datasets? (format: torch.utils.data)

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