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Question: What is the vanishing gradient problem, and how does it affect deep neural networks?
Answer: The vanishing gradient problem occurs when gradients become extremely small during backpropagation, leading to negligible weight updates in early layers. This hinders the training of deep networks, as early layers fail to learn meaningful representations.

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