Transfer learning
id:
transfer-learning-161-9476512
title:
Transfer learning
text:
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks. This topic is related to the psychological literature on transfer of learning, although practical ties between the two fields are limited. Reusing/transferring information from previously learned tas
brand slug:
wiki
category slug:
encyclopedia
description:
Machine learning technique
original url:
https://en.wikipedia.org/wiki/Transfer_learning
date created:
2006-02-01T13:32:07Z
date modified:
2024-08-27T07:50:09Z
main entity:
{"identifier":"Q6027324","url":"https://www.wikidata.org/entity/Q6027324"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/6/6f/Transfer_learning.svg","width":600,"height":450}
fields total:
13
integrity:
16