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Regarding neural networks, do vanishing gradients primarily impact the layers closer to the input or to the output?

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Interview question asked to Machine Learning Engineers interviewing at SeatGeek, Walmart, CrowdStrike and others: Regarding neural networks, do vanishing gradients primarily impact the layers closer to the input or to the output?.