gradient-descent-update-rule

IN premise — entries/2026/06/21/wiki-Gradient_descent-chunk-2.md

Created 2026-06-21T09:55:50+00:00

The gradient descent update rule is x_{n+1} = x_n - η·∇f(x_n), where η is the learning rate (step size) and ∇f is the gradient of the objective function