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What is the primary purpose of Logistic Regression in machine learning?

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What is the purpose of Gradient Descent in logistic regression?

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What role does Backpropagation play in training a neural network?

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In PyTorch, what is the main function of Tensors?

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Why is the chain rule important in Backpropagation?

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How does PyTorch's torch.autograd module help in deep learning?

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What does torch.ones((3, 4)) do?

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What is the function of torch.arange(12).view((3,4))?

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What will torch.rand_like(x.float()) produce?

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What does the following code do? x = torch.ones((3, 4)) y = torch.ones((3, 4)) z = x + y print(z)

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