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机器学习实验室

Machine Learning Laboratory
课程网址: http://videolectures.net/mlss08au_webers_mll/  
主讲教师: Christfried Webers
开课单位: 澳大利亚ICT卓越研究中心
开课时间: 2008-05-07
课程语种: 英语
中文简介:
第一个实验室还没有被记录下来,但是有一些人参与Elefant的实验,主要集中在安装,使用和开发机器学习算法。 Elefant框架。 作为本教程的一部分,我们将介绍实现简单随机梯度下降算法的示例。 这是第二次会议的第一部分,以[[mlss08au_vishwanathan_mll | //S.V.N。 Vishwanathan的//“%title”]]并将参与BNRM(规范风险最小化的捆绑方法)的实验。 这里的重点是开发各种损耗函数模块,然后将其插入BMRM求解器。
课程简介: The first laboratory has not been recorded but has featured some hands on experiments with Elefant mainly concentrating on installing, using, and developing machine learning algorithms within the Elefant framework. We will walk through examples of implementing a simple stochastic gradient descent algorithm as a part of this tutorial. This is the first part of the second session which is split with [[mlss08au_vishwanathan_mll|//S.V.N. Vishwanathan's// "%title"]] and will feature hands on experiments with BNRM (Bundle Methods for Regularized Risk Minimization) . The emphasis here will be on developing various loss function modules which can then be plugged into the BMRM solver.
关 键 词: 机器学习算法; 损耗函数; 简单随机梯度下降算法
课程来源: 视频讲座网
最后编审: 2021-12-22:liyy
阅读次数: 93