APPLICATION OF SUPERVISED LEARNING
GRADIENT DESCENT
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]


True


False


Either A or B


None of the above

Detailed explanation1: Gradient descent is an optimization algorithm which is commonlyused to train machine learning models and neural networks. Training data helps these models learn over time, and the cost function within gradient descent specifically acts as a barometer, gauging its accuracy with each iteration of parameter updates.
Detailed explanation2: Gradient Descent is an optimizing algorithm used in Machine/ Deep Learning algorithms. The goal of Gradient Descent is to minimize the objective convex function f(x) using iteration.
Detailed explanation3: Gradient Descent is an optimization algorithm for finding a local minimum of a differentiable function. Gradient descent in machine learning is simply used to find the values of a functionâ€™s parameters (coefficients) that minimize a cost function as far as possible.