This page presents a visual example on how Gradient Descent works in finding minimal values to
f(x) = x⁴ - 3x³ + 2.

Gradient Descent is usually applied to guide the adjustment of the synaptic weights in artificial neural networks.

The parameters at 'Options' section can be used to control animation.

You can choice a start point by hitting at the graph or clicking in 'Random x' button.