It is, gradient descent is what you use to find optimal model parameters.
the algorithm takes a step, computes a gradient (whether any nearby options are better), then moves in that direction to improve the parameters, in a loop.
It is, gradient descent is what you use to find optimal model parameters.
the algorithm takes a step, computes a gradient (whether any nearby options are better), then moves in that direction to improve the parameters, in a loop.