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)。

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

Prof. Winston Hsu

CSIE.NTU / NVIDIA AI Lab

Modeling the Dynamics of SGD by Stochastic Differential EquationNo. 45 @ 2020/09/11 @ Mark Chang
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
Towards Principled Methods for Training Generative Adversarial NetworksNo. 19 @ 2018/05/11 @ Mark Chang
Domain adaptationNo. 29 @ 2019/03/08 @ Mark Chang

Machine Teaching
No. 31 @ 2019/06/28 @ Mark Liou

劉馬克 (Mark Liou)
a.k.a 深度學習界的城武哥 / 金城馬克

神經網路的黑執事
No. 44 @ 2020/08/21 @ Mark Liou

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

Introduction to geometric deep learning with implementation
No. 37 @ 2020/01/10 @ 杜岳華
幾何深度學習是在幾何什麼的？
No. 43 @ 2020/07/24 @ 杜岳華
高維資料的降維演算法及視覺化
No. 39 @ 2020/03/20 @ 杜岳華
Speaker: Ian & Hsiang @ No. 41 @ 2020/05/29NLP Landing & Marchine Reading Comprehension
Speaker: 顏志翰 (Bean)Instance Segmentation @ No. 40 @ 2020/05/01
Speaker: Jiero Ho
Explainable Artificial Intelligence @ No. 36 @ 2019/12/13
Speaker: Cecile Liu @ No. 34 @ 2019/10/04High-Dimensional Continuous Control Using Generalized Advantage Estimation
Speaker: 林家銘 @ No. 33 @ 2019/08/23Hardware Accelerators for Machine Learning
Speaker: Ryan Chao @ No. 30 @ 2019/05/17The Hackathon/Formosa Grand Challenge Between Us
Speaker: Chin-Hui Chen @ No. 28 @ 2019/02/15
Deep knowledge representation and reasoning
Speaker: Bean Yen @ No. 27 @ 2019/01/11
Semi-Supervised Classification with Graph Convolutional Networks
Speaker: Nat Lee, Alice Hong, Ian Wang, TonTon
Machine Reading Comprehension @ No. 26 @ 2018/12/07
Speaker: TonTon
Deep Learning 101 2週年 @ No. 25 @ 2018/11/09
Speaker: Nat Lee, TonTon @ No. 24 @ 2018/10/12SOC: Social-network Opinion and Comment
Speaker: SAS @ No. 23 @ 2018/09/14
Recommender System
Speaker: 黃俊仁 (Ken Huang) @ No. 22 @ 2018/08/17Deep Bilateral Learning for Real-Time Image Enhancement
Speaker: Jiero Ho @ No. 21 @ 2018/07/06
Dynamic Routing Between Capsules
Speaker: Nat Lee, Boris Lo, Alice Hong, Ian Wang @ No. 20 @ 2018/06/08VAE: A generative model for 2D anime character faces
Deep Generative Models @ Deep Learning BookChapter 20 @ No.18 @ 2018/04/13
Approximate Inference @ Deep Learning Book Chapter 19 @ No.17 @ 2018/03/16
Confronting the Partition Function @ Deep Learning BookChapter 18 @ No.15 @ 2018/01/12
Speaker: Ian Wang @ Chapter 17 @ No.14 @ 2017/12/15Monte Carlo Methods @ Deep Learning Book
Structured Probabilistic Models @ Deep Learning BookChapter 16 @ No. 12 @ 2017/10/27
Speaker: Nat Lee @ Autoencoders @ Deep Learning Book
Chapter 14 @ No. 11 @ 2017/09/08
Linear Factor Models @ Deep Learning BookChapter 13 @ No. 10 @ 2017/08/11
Representation Learning @ Deep Learning Book Chapter 15 @ No. 09 @ 2017/07/07
Recurrent and Recursive Nets @ Deep Learning Book
Chapter 10 @ No. 07 @ 2017/05/05
Convolutional Networks @ Deep Learning BookChapter 9 @ No. 06 @ 2017/04/14
Optimization for Training Deep Models @ Deep Learning Book Chapter 8 @ No. 05 @ 2017/03/10