Math — Gradient Descent

\mathbf{x}_{n+1} = \mathbf{x}_n - \eta\,\nabla f(\mathbf{x}_n)

\eta = \text{learning rate}

\text{converges to a local minimum}

\nabla f = \mathbf{0} \text{ at the optimum}