What is the purpose of a "learning rate" in gradient descent optimization?

• A
  To determine the size of steps taken towards the minimum of a function
• B
  To increase the model's complexity
• C
  To define the number of iterations
• D
  To prevent the model from underfitting
• E
  To ensure the model converges to a local maximum