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What happens when using torch.rand(shape)?

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What does high bias in a neural network indicate?

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What is the main characteristic of a model with high variance?

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What is the main goal of regularization in neural networks?

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Which of the following is NOT a common regularization technique?

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What is the primary difference between L1 and L2 regularization?

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Why do we prefer small weight values in neural networks?

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What is the primary effect of dropout in neural networks?

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During inference (testing), how do we handle dropout?

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What is the purpose of momentum in gradient descent?

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