Question: ) Consider a one - layer non - linear neural network y = Sigmoid ( W x + b ) , if we have a

) Consider a one-layer non-linear neural network y = Sigmoid(W x + b), if we have a large initialization of parameter W, would this cause vanishing gradient or exploding gradient problem? Briefly discuss the reason.

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