Neural scaling law
Law in machine learning / From Wikipedia, the free encyclopedia
In machine learning, a neural scaling law is a scaling law relating parameters of a family of neural networks.[1][2]
In machine learning, a neural scaling law is a scaling law relating parameters of a family of neural networks.[1][2]