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迁移学习概述

An Overview of Transfer Learning
课程网址: http://videolectures.net/nipsworkshops2013_jialin_pan_transfer_le...  
主讲教师: Sinno Jialin Pan
开课单位: 信息通信研究所
开课时间: 2014-10-06
课程语种: 英语
中文简介:
迁移学习在人工智能、机器学习等许多应用领域越来越受到关注。与传统机器学习方法假设训练和测试数据来自同一任务或领域不同,迁移学习旨在跨领域或任务提取公共知识,以便在一个领域或任务上训练的模型可以适用于其他领域或任务。在本次演讲中,我将首先对迁移学习进行概述,并讨论迁移学习与其他学习领域的关系,然后将各种迁移学习方法归纳为几类,并介绍一些具有代表性的方法,最后讨论该领域的研究挑战和未来的发展方向
课程简介: Transfer learning has attracted increasingly attention in artificial intelligence, machine learning and many other application areas. Different from traditional machine learning methods which assume the training and testing data come from the same task or domain, transfer learning aims to extract common knowledge across domains or tasks, such that a model trained on one domain or task can be adapted to other domains or tasks. In this talk, I will first give an overview of transfer learning and discuss the relationships between transfer learning and other learning areas, and then summarize various transfer learning approaches into several categories, and introduce some representative methods, finally discuss research challenges and future directions in this area.
关 键 词: 迁移学习; 人工智能; 机器学习
课程来源: 视频讲座网
数据采集: 2022-12-05:chenjy
最后编审: 2023-05-11:chenjy
阅读次数: 28