Trained networks of artificial neurons are function approximators, so they are basically algorithms , we just don&#x27;t care enough for their analytical expressions. The analytical expression is appealing but some problems may prove irreducible or very-little-reducible. I don&#x27;t see a problem with either approach since they both achieve the same effect.