Question: Why is learning rate an important parameter in the gradient descent algorithm? Group of answer choices It determines how much the weights are updated during

Why is learning rate an important parameter in the gradient descent algorithm?
Group of answer choices
It determines how much the weights are updated during each iteration
It controls the amount of data used per iteration
It specifies the number of iterations for convergence
It determines the direction of the gradient

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