Deep Learning 101, Taiwan’s pioneering and highest deep learning meetup, launched on 2016/11/11 @ 83F, Taipei 101

AI是一條孤獨且充滿惶恐及未知的旅程，花俏絢麗的收費課程或活動絕非通往成功的捷徑。
衷心感謝當時來自不同單位的AI同好參與者實名分享的寶貴經驗；如欲移除資訊還請告知。
由 TonTon Huang Ph.D. 發起，及其當時任職公司(台灣雪豹科技)無償贊助場地及茶水點心。
Deep Learning 101 創立初衷，是為了普及與分享深度學習及AI領域的尖端知識，深信AI的價值在於解決真實世界的商業問題。

Deep Learning 101 Meetup

Deep Learning 101 Meetup 歷年活動 (摘要逐字稿及語音皆由 Gemini 2.5 Pro Preview 05-06 及 NotebookLM 所生成，處理好會陸續補上)

No.	主題 (網頁)	日期 (YT)	講者 (摘要)
49	On the Relationship among Convolution Attention and GNN	2022/05/06	杜岳華
48	Model-Based Reinforcement Learning	2021/07/16	翁崇恒
47	深度學習也可以學傅立葉轉換	2020/12/04	杜岳華
45	Modeling the Dynamics of SGD by Stochastic Differential Equation	2020/09/11	Mark Chang
44	神經網路的黑執事	2020/08/21	Mark Liou
43	幾何深度學習是在幾何什麼的？	2020/07/24	杜岳華
42	information in the weights	2020/06/19	Mark Chang
41	NLP Landing & Machine Reading Comprehension	2020/05/29	Ian & Hsiang
40	Instance Segmentation	2020/05/01	顏志翰 (Bean)
39	高維資料的降維演算法及視覺化	2020/03/20	杜岳華
38	PAC Bayesian for Deep Learning	2020/02/14	Mark Chang
37	Introduction to geometric deep learning with implementation	2020/01/10	杜岳華
36	Explainable Artificial Intelligence	2019/12/13	何宗諭 (Jiero)
34	High-Dimensional Continuous Control Using Generalized Advantage Estimation	2019/10/04	Cecile Liu
33	Hardware Accelerators for Machine Learning	2019/08/23	林家銘
32	Transfer Learnings & Multitask Learning	2019/07/19	Mark Chang
31	Machine Teaching	2019/06/28	Mark Liou
30	The Hackathon/Formosa Grand Challenge Between Us	2019/05/17	Ryan Chao
29	Domain adaptation	2019/03/08	Mark Chang
28	Deep knowledge representation and reasoning	2019/02/15	Chin-Hui Chen
27	Semi-Supervised Classification with Graph Convolutional Networks	2019/01/11	Bean Yen
26	Machine Reading Comprehension	2018/12/07	Nat, Alice & Ian
24	SOC: Social-network Opinion and Comment	2018/10/12	Nat Lee
23	Recommender System	2018/09/14	SAS
22	Deep Bilateral Learning for Real-Time Image Enhancement	2018/08/17	Ken Huang
21	Dynamic Routing Between Capsules	2018/07/06	Jiero Ho
20	VAE: A generative model for 2D anime character faces	2018/06/08	Nat, Boris, Alice, Ian
19	Towards Principled Methods for Training Generative Adversarial Networks	2018/05/11	Mark Chang
18	Deep Generative Models @ Deep Learning Book Chapter 20	2018/04/13	文字摘要
17	Approximate Inference @ Deep Learning Book Chapter 19	2018/03/16	文字摘要
15	Confronting the Partition Function @ Deep Learning Book Chapter 18	2018/01/12	何宗諭 (Jiero)
14	Monte Carlo Methods @ Deep Learning Book Chapter 17	2017/12/15	Ian Wang
12	Structured Probabilistic Models @ Deep Learning Book Chapter 16	2017/10/27	文字摘要
11	Autoencoders @ Deep Learning Book Chapter 14	2017/09/08	Nat Lee
10	Linear Factor Models @ Deep Learning Book Chapter 13	2017/08/11	文字摘要
09	Representation Learning @ Deep Learning Book Chapter 15	2017/07/07	文字摘要
–	Applications @ Deep Learning Book Chapter 12
–	Practical Methodology @ Deep Learning Book Chapter 11
07	Recurrent and Recursive Nets @ Deep Learning Book Chapter 10	2017/05/05	文字摘要
06	Convolutional Networks @ Deep Learning Book Chapter 9	2017/04/14	文字摘要
05	Optimization for Training Deep Models @ Deep Learning Book Chapter 8	2017/03/10	文字摘要
04	Regularization for Deep Learning @ Deep Learning Book Chapter 7	2017/02/10	文字摘要
03	Deep Feedforward Networks @ Deep Learning Book Chapter 6

📚 精選資源導航

Deep Learning 101 Meetup

Deep Learning 101 Meetup 歷年活動 (摘要逐字稿及語音皆由 Gemini 2.5 Pro Preview 05-06 及 NotebookLM 所生成，處理好會陸續補上)