____________ controls the magnitude of a step taken during Gradient Descent .
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Heya mate....
Here is your answer...
I think it is Function
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Gradient descent is the first-order optimization algorithm for searching the minimal of a function. Finding a local minimal of a function using gradient descent one can take steps perpendicular to the negative of the gradient of the function at the current point
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