Question: The vanishing gradient problem refers to the phenomenon where the partial derivatives of the cost function with respect to the network's parameters become exceedingly small

The vanishing gradient problem refers to the phenomenon where the partial derivatives of the cost function with respect to the network's parameters become exceedingly small during the training process. Which of the following activation functions is most suitable to mitigate the vanishing gradient problem in neural networks?a

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None of the three functionsb.Sigmoid functionc.Hyperbolic Tangent functiond.Rectified Linear Unit function

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