From 56bec18c4517b4ac5ffbe3a2174b0ec9f1205b17 Mon Sep 17 00:00:00 2001 From: TeacherZhu <813664462@qq.com> Date: Mon, 19 Oct 2020 10:39:25 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a368819..e3e4409 100644 --- a/README.md +++ b/README.md @@ -72,5 +72,5 @@ | 10月11日（周日） 10:30AM | (直播-Lecture19) <br> 概率图模型-2 |吉布斯采样、变分法|[Lecture19](http://47.94.6.102/NLP7/course-info/blob/master/%E8%AF%BE%E4%BB%B6/1011%E6%A6%82%E7%8E%87%E5%9B%BE%E6%A8%A1%E5%9E%8B-2.pptx)||| | 10月18日（周日） 10:30AM | (直播-Lecture20) <br> 概率图模型-3 ||||| | 10月18日（周日） 4:00PM | (直播-Discussion) <br> Bayesian Neural Network ||[课件 <br>代码](http://47.94.6.102/NLP7/course-info/blob/master/%E8%AF%BE%E4%BB%B6/1018Bayesian%20Neural%20Network.rar)||| -| 10月18日（周日） 8:00PM | (直播-Discussion) <br> MCMC之Metroplis Hasting算法 ||||| +| 10月18日（周日） 8:00PM | (直播-Discussion) <br> MCMC之Metroplis Hasting算法 ||[课件](http://47.94.6.102/NLP7/course-info/blob/master/%E8%AF%BE%E4%BB%B6/1018MCMC_review_QIAO.zip)||| | TBD | (直播-Paper) <br> |||[Dropout as a Bayesian Approximation:Representing Model Uncertainty in Deep Learning](https://arxiv.org/pdf/1506.02142.pdf)|| -- libgit2 0.26.0