meta-learning with pac-bayes theory 及背景知識介紹

介紹meta-learning by adjusting priors based on extended pac-bayes learning theory這篇以及相關背景知識
0:00 Meta-Learning by Adjusting Priors based on Extended PAC-Bayes Theory
0:15 大綱
0:47 什麼是Meta-Learning
7:38 Model Agnostic Meta-Learning
12:52 簡介PAC-Bayes
13:35 Risk Estimation
17:22 PAC-Bayes的一般型式
20:40 McAllester's Bound
23:13 Meta-Learning with PAC-Bayes
32:40 演算法
44:53 實驗
49:42 總結

Видео meta-learning with pac-bayes theory 及背景知識介紹 канала DL with some theories