public:learning2022
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Table of Contents
Reading seminars in 2022
Second semester
Schedule (contact: Li, Yanghepu)
- Default: 10am-12pm, Wed
- Oct 19, 26
- Nov 2, 9, 16, 30
- Dec 7, 21, 28
- Jan (2023) 11, 25
Book
- dive_into_deep_learning.pdf shared by Yanghepu Li
Date | Participants (* represents the presenter) | Contents |
Oct. 19 | Tim; *Li-Yang; Wenruo; Wenlong; Rimsa; Rojan; Zhenyu | Dive Into Deep Learning: basic definitions/linear model/tasks/evaluations… |
Oct. 26 | Tim; Li-Yang; Wenruo; *Wenlong; Rimsa; Rojan; Zhenyu | Dive Into Deep Learning: entropy/relative entropy/KL divergence… |
Nov. 2 | Tim; Li-Yang; Wenruo; Wenlong; Rimsa; *Rojan; Zhenyu | Dive Into Deep Learning: multilayer perceptron |
Useful links
- Entropy, cross-entropy, and KL-divergence (provided by Tim)
First semester on Graph Learning
- 10am-12am, Wed
- Book: “Graph Representation Learning” by William Hamilton, see https://www.cs.mcgill.ca/~wlh/grl_book/
- April 13, 20, 27; May 11, 25; June 8, 22; July 6, 20, 27
Date | Presenter | Material(s) |
---|---|---|
April 13th | Zhenyu Zuo | notes_20220413.pdf |
April 20th | Yanghepu Li | 20220420.pdf |
April 27th | Wenruo Lyu | 20220427-Sec.2.2.2-Sec.2.3.1 |
May 11th | Zhenyu Zuo | 20220511-sec_2.3.1-3.1.4.pdf |
May 25th | Yanghepu Li | |
June 1th | Zhenyu Zuo | |
June 8th | Yanghepu Li | |
June 15th | Wenruo Lyu | grl-sec5.3.3-sec.5.6.pdf |
July 6th | Wenruo Lyu | grl-sec.7.1.4.3-sec.7.3.3.pdf |
First semester on Machine Learning
Date | Presenter | Content(s) |
---|---|---|
April 13th | Yanghepu Li | Introductions to the usage of Colab |
April 20th | Yanghepu Li | Gradient descend and back propogation |
April 28th | Yining Xu | Super basic introduction about OpenCV |
May 12th | Zhenyu Zuo | Filters, Template Matching, and CNNs. |
May 27th | Rojan Basnet | CNN |
public/learning2022.1667352948.txt.gz · Last modified: 2022/11/02 10:35 by member