PyTorch quiz

Test your PyTorch knowledge with a free interactive quiz — 34 questions with answers and explanations. No signup needed to play.

What does `torch.no_grad()` do?

1. What does `torch.no_grad()` do?
2. How do you put a model into evaluation mode for inference?
3. What is PyTorch?
4. How do you check if a GPU is available?
5. Why must you call `optimizer.zero_grad()` before each `.backward()` call in a training loop?
6. What is a `Dataset` and `DataLoader` used for?
7. What does a loss function like `nn.CrossEntropyLoss` compute?
8. What does `requires_grad=True` on a tensor do?
9. What is an activation function like `nn.ReLU` for?
10. What is `nn.Linear(in_features, out_features)`?
11. How do you reshape a tensor without changing its data?
12. How do you save a trained model's weights?

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