Artificial Intelligence 人工智慧
Taipei Tech EE AI
112 Videos
半小時學AI
111影片
| Topic | Learning Objectives | Slides | Code | Video | ||
|---|---|---|---|---|---|---|
| Course Requirements |
|
|||||
| Textbooks & References |
|
|
|
|||
| 1 | Past, Present, and Future of AI 人工智慧的前世今生與未來 |
|
|
|||
| 2 | Fundamentals of Machine Learning 機器學習之基本原理 |
|
classifiers |
|
||
| 3 | Model Evaluation 評估模型的好壞 |
|
||||
| TensorFlow & Keras 深度學習開發框架簡介 |
|
IMDB_review financial_news house_pricing |
|
|||
| 4 | Applied Math 機器學習中的應用數學 |
Linear Algebra
|
|
|||
Probability
|
|
|||||
Calculus & Optimization
|
||||||
| 5 | Data Mining 資料探勘 |
|
||||
| 6 | Decision Trees 決策樹 |
|
||||
| 5 | Unsupervised Learning 非監督式學習 |
|
|
|||
| Self-supervised Learning 自我監督式學習 |
||||||
| 8 | Computer Vision & Convolutional Neural Networks (CNNs) 電腦視覺與捲積神經網路 |
|
![]() |
|||
| Mock Exam 期中考模擬考題 |
||||||
| 9 | Object Detection and Image Segmentation |
|
Run YOLOv4 |
|
||
| 10 | Natural Language Processing (NLP) 自然語言處理 |
|
![]() |
|||
| 11 | Attention & Transformer |
|
|
|||
| Modern NLP Models |
|
|||||
| 12 | RNN & LSTM 遞迴式神經網路 |
|
|
|||
| Stock Prediction |
|
|||||
| 13 | Generative Deep Learning (生成式深度學習) |
|
||||
| Generative Adversarial Networks (GANs) AI藝術大師 - 生成對抗網路 |
|
|
||||
| 14 | Stable Diffusion |
|
||||
| 15 | Deep Reinforcement Learning (DRL) 擊敗棋王 - 深度強化學習 |
|
|
|||
| 16 | Deep Learning on Graphs 深度學習與圖論 |
|
||||
| AI Cloud Service 雲端AI訓練服務 |
|

