1. 如果想分享研究心得或產業相關題目,歡迎報名。

  2. 本讀書會採實名分享制,目前主要參與者分別來自不同公司的人工智慧研發團隊。

  3. 如果您是錄影裡的講者,願意分享個人資料,再給訊息;感謝各位參與過的夥伴們。

  4. 本讀書會由 TonTon Huang Ph.D. 無償贊助場地及茶水點心逾5年,無任何 Co-organizer。

  5. Deeep Learnig 101 屬入門後讀書會,研究實作的討論 (畢竟,AI是條寂寞且惶恐的道路)。

Prof. Winston Hsu

CSIE.NTU / NVIDIA AI Lab

Deep Learning 101 - 大神 Q&A I & II @ No. 16 @ 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

information in the weightsNo. 42 @ 2020/06/19 @ Mark Chang
PAC Bayesian for Deep LearningNo. 38 @ 2020/02/14 @ Mark Chang
Transfer Learnings & Multitask LearningNo. 32 @ 2019/07/19 @ Mark Chang
Domain adaptationNo. 29 @ 2019/03/08 @ Mark Chang
深度學習也可以學傅立葉轉換No. 47 @ 2020/12/04 @ 杜岳華

Model-Based Reinforcement Learning (MB-RL)
No. 48 @ 2021/07/16 @ 翁崇恒

Instance Segmentation No. 40 @ 2020/05/01 @ Speaker: 顏志翰 (Bean)
Explainable Artificial IntelligenceNo. 36 @ 2019/12/13 @ Speaker: Jiero Ho
Hardware Accelerators for Machine Learning No. 33 @ 2019/08/23 @ Speaker: 林家銘
The Hackathon/Formosa Grand Challenge Between UsNo. 30 @ 2019/05/17 @ Speaker: Ryan Chao
Deep knowledge representation and reasoningNo. 28 @ 2019/02/15 @ Speaker: Chin-Hui Chen
Machine Reading Comprehension No. 26 @ 2018/12/07 @ Speaker: Nat Lee, Alice Hong, Ian Wang
No. 25 @ 2018/11/09 @ Deep Learning 101 2週年
SOC: Social-network Opinion and CommentNo. 24 @ 2018/10/12 @ Speaker: Nat Lee, TonTon
Recommender SystemNo. 23 @ 2018/09/14 @ Speaker: SAS
Deep Bilateral Learning for Real-Time Image Enhancement No. 22 @ 2018/08/17 @ Speaker: 黃俊仁 (Ken Huang)
Dynamic Routing Between CapsulesNo. 21 @ 2018/07/06 @ Speaker: Jiero Ho
VAE: A generative model for 2D anime character facesNo. 20 @ 2018/06/08 @ Speaker: Nat Lee, Boris Lo, Alice Hong, Ian Wang
Deep Generative Models @ Deep Learning BookChapter 20 @ No.18 @ 2018/04/13
Speaker: Ian Wang @ Chapter 17 @ No.14 @ 2017/12/15Monte Carlo Methods @ Deep Learning Book
Linear Factor Models @ Deep Learning BookChapter 13 @ No. 10 @ 2017/08/11
Representation Learning @ Deep Learning Book Chapter 15 @ No. 09 @ 2017/07/07