Question: What role does the learning rate play in the gradient descent optimization algorithm? It quantifies the difference between predicted and actual values. It controls the

What role does the learning rate play in the gradient descent optimization algorithm?
It quantifies the difference between predicted and actual values.
It controls the step size taken during each iteration of parameter updates.
It selects the most relevant features fdin the model.
It determines the complexity of the model architecture.
What role does the learning rate play in the gradient descent

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