learning rate
The fixed positive number \eta in the update rule that sets how big each step is; too small and training crawls, too large and it can diverge.
Examples
With \eta=1.1 on L(w)=(w-3)^2, w jumps 0, 6.6, -1.32, 8.184, \ldots, growing farther from the minimum every step.
See also
Point table
Graph settings
Calculator