What Jobs Will OpenAI's New GPT-3 Disrupt First - TectoGizmo

How Does a Neural Network Work? A neural net is not much more than a collection of logical units that each has an input weight and a weight per connector. If the input weight multiplied by the connector weight is more than a threshold value defined, the unit is set to fire, which then triggers the unit to its right with a new input value. In the graph on the right, due to the fact that not all threshold values are exceeded, the tree will shrink until only a couple of output units or even only one have fired. This is the basis of how it learns.