From Wikipedia, the free encyclopedia
|This article does not cite any sources. (July 2015)|
In machine learning, systems which employ offline learning do not change their approximation of the target function once the initial training phase has been completed. These systems are also typically examples of eager learning.
- online learning, the opposite model
|This computing article is a stub. You can help Wikipedia by expanding it.|