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TonTon Huang Ph.D. | 痛 痛
  • TonTon Huang Ph.D.
    • Blog
  • Experiences
  • Research (Cyber-Security)
    • R2-D2
    • C-3PO
    • TWMAN / MiT
  • AI/ASR/NLP/CV
    • AI-Companion-Robots
    • GenAI in Finance
    • ASR (語音識別)
      • 中文語者識別(聲紋)
      • 中文語音增強(去噪)
      • 中文語者分離(分割)
    • NLP (自然語言處理)
      • 中文文本糾錯
      • 中文機器閱讀理解
      • 中文實體識別
      • 中文文本分類
      • 中文文本相似度
    • CV (電腦視覺)
    • Instruction
  • Deep Learning 101
TonTon Huang Ph.D. | 痛 痛
  • TonTon Huang Ph.D.
    • Blog
  • Experiences
  • Research (Cyber-Security)
    • R2-D2
    • C-3PO
    • TWMAN / MiT
  • AI/ASR/NLP/CV
    • AI-Companion-Robots
    • GenAI in Finance
    • ASR (語音識別)
      • 中文語者識別(聲紋)
      • 中文語音增強(去噪)
      • 中文語者分離(分割)
    • NLP (自然語言處理)
      • 中文文本糾錯
      • 中文機器閱讀理解
      • 中文實體識別
      • 中文文本分類
      • 中文文本相似度
    • CV (電腦視覺)
    • Instruction
  • Deep Learning 101
  • More
    • TonTon Huang Ph.D.
      • Blog
    • Experiences
    • Research (Cyber-Security)
      • R2-D2
      • C-3PO
      • TWMAN / MiT
    • AI/ASR/NLP/CV
      • AI-Companion-Robots
      • GenAI in Finance
      • ASR (語音識別)
        • 中文語者識別(聲紋)
        • 中文語音增強(去噪)
        • 中文語者分離(分割)
      • NLP (自然語言處理)
        • 中文文本糾錯
        • 中文機器閱讀理解
        • 中文實體識別
        • 中文文本分類
        • 中文文本相似度
      • CV (電腦視覺)
      • Instruction
    • Deep Learning 101

https://interactionx.pse.is/DLBook101 | https://interactionx.pse.is/DLMeetup101
YouTube | 台灣人工智慧社團 FB  | Odysee
Deep Learning 101 Meetup
Taiwan’s pioneering and highest deep learning meetup, launched on 2016/11/11 @ 83F, Taipei 101
http://DeepLearning101.TWMAN.ORG |  https://deep-learning-101.github.io
https://github.com/Deep-Learning-101 | https://huggingface.co/DeepLearning101

  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,主要參與者分別來自不同公司的人工智慧研發團隊。

  3. AI是一條孤獨且充滿不確定的惶恐旅程,花俏絢麗的收費課程或活動絕非通往成功的捷徑。

  4. 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。

  5. 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。 

Welcome to Taiwan ! Prof. Yann LeCun  @ 2017/06/29

Prof. Hung-Yi Lee

EE.NTU

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

On the Relationship among Convolution Attention and GNN
No. 49 @ 2022/05/06 @ 杜岳華

深度學習也可以學傅立葉轉換
No. 47 @ 2020/12/04 @ 杜岳華

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

Model-Based Reinforcement Learning
No. 48 @ 2021/07/16 @ 翁崇恒

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

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
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
NLP Landing & Marchine Reading Comprehension
No. 41 @ 2020/05/29 @ Ian & Hsiang
Instance Segmentation No. 40 @ 2020/05/01 @ 顏志翰 (Bean)
Explainable Artificial IntelligenceNo. 36 @ 2019/12/13 @ Jiero Ho
High-Dimensional Continuous Control Using Generalized Advantage Estimation No. 34 @ 2019/10/04 @ Cecile Liu
Hardware Accelerators for Machine Learning No. 33 @ 2019/08/23 @ 林家銘 
The Hackathon/Formosa Grand Challenge Between UsNo. 30 @ 2019/05/17 @ Ryan Chao
Deep knowledge representation and reasoningNo. 28 @ 2019/02/15 @ Chin-Hui Chen
Semi-Supervised Classification with Graph Convolutional NetworksNo. 27 @ 2019/01/11 @ Bean Yen
Machine Reading Comprehension No. 26 @ 2018/12/07 @ 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 @ Nat Lee, TonTon 
Recommender SystemNo. 23 @ 2018/09/14 @ SAS
Deep Bilateral Learning for Real-Time Image Enhancement No. 22 @ 2018/08/17 @ 黃俊仁 (Ken Huang)
Dynamic Routing Between CapsulesNo. 21 @ 2018/07/06 @ Jiero Ho
VAE: A generative model for 2D anime character facesNo. 20 @  2018/06/08 @ Nat Lee, Boris Lo, Alice Hong, Ian Wang
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
Monte Carlo Methods @ Deep Learning Book
Chapter 17 @ No.14 @ 2017/12/15 @ Ian Wang 
Structured Probabilistic Models @ Deep Learning BookChapter 16 @ No. 12 @ 2017/10/27
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

Taiwan's front-line battle against mobile phone fraud @ bbc.com
AI Improves the Frequency and Quality of Mobile App Notifications @ nvidia.com
ComfyUI + Multimodal Model + Segment Anything Model 2 + Stable Diffuision + FLUX
那些自然語言處理 (Natural Language Processing, NLP)踩的坑 | 那些ASR和TTS可能會踩的坑 | 那些語音處理 (Speech Processing) 踩的坑
那些大型語言模型要踩的坑 | 那些檢索增強生成 (Retrieval-Augmented Generation, RAG) 要踩的坑 | 白話文手把手帶你科普 GenAI  
Career - 十大熱門人才系列報導: 機器學習專家 | 科技抗疫: 提高聲紋辨識正確率,添防疫新利器
https://huggingface.co/DeepLearning101 | Google Scholar | ScholarGPS  | https://github.com/Deep-Learning-101

© 2010-2025 TonTon H.-D. Huang Ph.D. ALL RIGHTS RESERVED | TonTon (at) TWMAN.ORG
M.S., OASE Lab., Dept. of Information and Learning Technology (數位學習科技學系), National University of Tainan (國立臺南大學), Taiwan;Prof. Chang-Shing Lee
Ph.D., IKMLab., Dept. of Computer Science and Information Engineering (資訊工程學系), National Cheng Kung University (國立成功大學), Taiwan;Prof. Hung-Yu Kao
Over 10 years of academic research and industry hands-on experiences in Cyber-Security, Speech Processing, Natural Language Processing & Computer Vision

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