The top private AI Meetup in Taiwan launched on 2016

YouTube | Github | Facebook

Deep Learning 101 Meetup (深度學習 101 讀書會)

  1. 如果您是錄影裡面的講者,也願意將個人資料分享,麻煩再給訊息;感謝各位參與過的夥伴們。
  2. 如果是研究主題想要分享,或有產業相關的題目想分享與討論,歡迎報名。
  3. 讀書會很多,Deeep Learnig 101 屬於入門,研究/實作有心得、問題的分享討論(畢竟,在大多數學術/企業裡,AI是條寂寞且惶恐的道路)
  4. 本讀書會無償贊助位於台北101大樓83樓的場地及茶水點心已近4年,且無任何其它 Co-organizer.
  5. 本讀書會目前主要參與者分別來自不同公司的相關人工智慧研發團隊成員。

李宏毅 教授

Mail | Web

國立臺灣大學 電機工程學系

Deep Learning 101 - 大神 Q&A I & II

Live @ No. 16@Deep Learning 101 @ 2018/02/02

深度學習界的大神們來台北101給大家解惑,疑難雜症都不用擔心

徐宏民 (Winston Hsu) 教授

Director for NVIDIA AI LAB

國立臺灣大學 資訊工程學系

HD @ No. 41 @ Deep Learning 101 @ 2020/05/29

Speaker: 顏志翰 (Bean)

HD @ No. 40 @ Deep Learning 101 @ 2020/05/01

Speaker: Mark Chang

Web: https://ckmarkoh.github.io

Affiliation: Research Fellow

DeepQ (HTC Research & Healthcare)

information in the weights

No. 42 @ Deep Learning 101 @ 2020/06/19

PAC Bayesian for Deep Learning

HD @ No. 38 @ Deep Learning 101 @ 2020/02/14

Transfer Learnings & Multitask Learning

Live @ No. 32 @ Deep Learning 101 @ 2019/07/19

Domain adaptation

Live @ No. 29 @ Deep Learning 101 @ 2019/03/08

由多方領域的連結可以引入科學的解釋性到幾何深度學習中,也可以幫助模型學得更好

Introduction to geometric deep learning with implementation

Facebook Video PDF

HD @ No. 37@Deep Learning 101 @ 2020/01/10從基礎圖訊號處理,一路過關斬將,到圖神經網路,通往幾何深度學習的偉大航道
HD @ No. 39 @ Deep Learning 101 @ 2020/03/20

高維度的資料讓人難以理解及分析;近年來,資料視覺化及降維演算法在這邊扮演了重要的角色

Speaker: Jiero Ho

Mail: jieroyuho [ a t ] gmail.com

Affiliation: 安碁資訊股份有限公司 | Acer Cyber Security Inc. (ACSI)

Explainable Artificial Intelligence

HD @ No. 36 @ Deep Learning 101 @ 2019/12/13

Speaker: Cecile Liu

Affiliation: NLP 工程師 @ 文境資科

arXiv | Facebook Video

High-Dimensional Continuous Control Using Generalized Advantage Estimation

HD @ No. 34 @ Deep Learning 101 @ 2019/10/04

Speaker: 劉馬克 (Mark Liou)


中強光電

Machine Teaching

Live @ No. 31@Deep Learning 101 @ 2019/06/28

深度學習界的金城武手把手教學,還不快點看。

Speaker: 林家銘

Affiliation: 博士生 @ 國立臺灣大學 電機工程學系

Hardware Accelerators for Machine Learning

Live @ No. 33 @ Deep Learning 101 @ 2019/08/23

Speaker: Ryan Chao

Affiliation: PIXNET

The Hackathon/Formosa Grand Challenge Between Us

Live @ No. 30 @ Deep Learning 101 @ 2019/05/17

Deep knowledge representation and reasoning

Live @ No. 28 @ Deep Learning 101 @ 2019/02/15

Semi-Supervised Classification with Graph Convolutional Networks

Live @ No. 27 @ Deep Learning 101 @ 2019/01/11

Speaker: Nat Lee, Alice Hong, Ian Wang

Web:https://github.com/NatLee

Affiliation: Deep Learning 101

Machine Reading Comprehension

Live @ No. 26 @ Deep Learning 101 @ 2018/12/07

Speaker: TonTon

Web: http://TWMAN.ORG/NLP

Affiliation: Deep Learning 101

Deep Learning 101 2週年

Live @ No. 25 @ Deep Learning 101 @ 2018/11/09

Speaker: Nat Lee

Web:https://github.com/NatLee

Affiliation: Deep Learning 101

SOC: Social-network Opinion and Comment

Live @ No. 24 @ Deep Learning 101 @ 2018/10/12

Speaker: SAS

Affiliation: Appier

Recommender System

Live @ No. 23 @ Deep Learning 101 @ 2018/09/14

Speaker: 黃俊仁 (Ken Huang)

Paper

VIVO

Deep Bilateral Learning for Real-Time Image Enhancement

Live @ No. 22 @ Deep Learning 101 @ 2018/08/17

資深圖像演算法大神來分享

Dynamic Routing Between Capsules

HD @ No. 21 @ Deep Learning 101 @ 2018/07/06

Speaker: Nat Lee, Boris Lo, Alice Hong, Ian Wang

Web: https://github.com/NatLee

Affiliation: 國立台灣科技大學 資訊工程學系

VAE: A generative model for 2D anime character faces

HD @ No. 20 @ Deep Learning 101 @ 2018/06/08

Principled Methods for Training GAN

Live @ No. 19 @ Deep Learning 101 @ 2018/05/11


Deep Generative Models @ Deep Learning Book

Live @ No.18 @ Chapter 20 @ Deep Learning 101 @ 2018/04/13


Approximate Inference @ Deep Learning Book

Live @ No.17 @ Chapter 19 @ Deep Learning 101 @ 2018/03/16


Confronting the Partition Function @ Deep Learning Book

Live @ No.15 @ Chapter 18 @ Deep Learning 101 @ 2018/01/12

Speaker: 郭宗賢 (Larry Guo)


中強光電

Deep Learning 101 - 1週年 - A Walk in the GAN Zoo

Live @ No. 13 @ Deep Learning 101@ 2017/11/10

社團大佬親自出馬,帶你入門 GAN,不聽對得起自己嗎?

Speaker: Ian Wang

Affiliation: 國立台灣科技大學 資訊工程學系

Monte Carlo Methods @ Deep Learning Book

Live @ No.14 @ Chapter 17 @ Deep Learning 101 @ 2017/12/15


Structured Probabilistic Models @ Deep Learning Book

Live @ No. 12 @ Chapter 16 @ Deep Learning 101 @ 2017/10/27

Speaker: Nat Lee

Web: https://github.com/NatLee

Affiliation: 國立台灣科技大學 資訊工程學系

Autoencoders @ Deep Learning Book

Live @ No. 11 @ Chapter 14 @ Deep Learning 101 @ 2017/09/08


Linear Factor Models @ Deep Learning Book

Live @ No. 10 @ Chapter 13 @ Deep Learning 101 @ 2017/08/11


Representation Learning @ Deep Learning Book

Live @ No. 09 @ Chapter 15 @ Deep Learning 101 @ 2017/07/07


Recurrent and Recursive Nets @ Deep Learning Book

Live @ No. 07 @ Chapter 10 @ Deep Learning 101 @ 2017/05/05


Convolutional Networks @ Deep Learning Book

Live @ No. 06 @ Chapter 9 @ Deep Learning 101 @ 2017/04/14


Optimization for Training Deep Models @ Deep Learning Book

Live @ No. 05 @ Chapter 8 @ Deep Learning 101 @ 2017/03/10