Gradient descent is an iterative optimization method that minimizes a differentiable objective by repeatedly stepping in the direction opposite the gradient, which indicates the steepest ascent.
Gradient descent is an iterative optimization method that minimizes a differentiable objective by repeatedly stepping in the direction opposite the gradient, which indicates the steepest ascent.