Editing Backpropagation (section)

===Motivation===
The goal of any [[supervised learning]] algorithm is to find a function that best maps a set of inputs to their correct output. The motivation for backpropagation is to train a multi-layered neural network such that it can learn the appropriate internal representations to allow it to learn any arbitrary mapping of input to output.<ref name="RumelhartHintonWilliams1986a">{{cite journal |last1=Rumelhart |first1=David E. |author-link1=David E. Rumelhart |last2=Hinton |first2=Geoffrey E. |author-link2=Geoffrey E. Hinton |first3=Ronald J. |last3=Williams |author-link3=Ronald J. Williams |title=Learning representations by back-propagating errors|journal=Nature|date=1986a|volume=323|issue=6088|pages=533–536|doi=10.1038/323533a0|bibcode=1986Natur.323..533R|s2cid=205001834 }}</ref>