神经网络中基于范数的容量控制Norm-Based Capacity Control in Neural Networks |
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课程网址: | https://videolectures.net/videos/colt2015_tomioka_neural_networks |
主讲教师: | Ryota Tomioka |
开课单位: | 信息不详。欢迎您在右侧留言补充。 |
开课时间: | 2025-02-04 |
课程语种: | 汉简 |
中文简介: | 学习理论是一个致力于研究机器学习算法设计和分析的研究领域。特别是,这样的算法旨在根据观察做出准确的预测或表示。COLT的重点是严格的数学分析,使用各种相关领域的技术,如概率论、统计学、优化、信息论和几何。虽然有理论基础,但学习理论也非常强调有效的计算。 |
课程简介: | Learning Theory is a research field devoted to studying the design and analysis of machine learning algorithms. In particular, such algorithms aim at making accurate predictions or representations based on observations. The emphasis in COLT is on rigorous mathematical analysis using techniques from various connected fields such as probability, statistics, optimization, information theory and geometry. While theoretically rooted, learning theory puts a strong emphasis on efficient computation as well. |
关 键 词: | 学习理论; 机器学习算法设计; 数学分析 |
课程来源: | 视频讲座网 |
数据采集: | 2025-03-28:zsp |
最后编审: | 2025-03-28:zsp |
阅读次数: | 11 |