MathType - The #Gradient descent is an iterative optimization #algorithm for finding local minimums of multivariate functions. At each step, the algorithm moves in the inverse direction of the gradient, consequently reducing

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Solved] . 4. Gradient descent is a first—order iterative optimisation

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MathType - The #Gradient descent is an iterative optimization #algorithm for finding local minimums of multivariate functions. At each step, the algorithm moves in the inverse direction of the gradient, consequently reducing

Gradient descent is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function. To find a local minimum of a function using gradient descent, we take steps proportional