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At which point in a neural network do vanishing gradients most often present a problem: early on or closer to the output?

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Interview question asked to Machine Learning Engineers interviewing at Mixpanel, Credit Karma, Chegg and others: At which point in a neural network do vanishing gradients most often present a problem: early on or closer to the output?.