深度學習與人機互動技術
Deep Learning and Human Interface
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 深度學習與人機互動技術 CM214（歸仁） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
The contents of this course discusses the basic concepts and architecture of deep learning and its several vision-based applications including: similarity measure, backpropagation neural networks, convolutional neural networks, recurrent neural networks, feature extraction, face recognition, pedestrian detection, vehicle detection, and so on.
Linear Algebra
無備註
Class lecture, presentation with slides
Homework 20%,General Exam 20%, Mid Exam 30%, Final Exam 30%
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Chapter 1: Introduction Chapter 2: Applied Math https://meet.google.com/dzx-oqiu-esx 2021/9/14 |
| 第 2 週 | Day-off (Mid-Autumn Festival) 2021/9/21 |
| 第 3 週 | Chapter 3: Probability and Information Theory https://meet.google.com/dzx-oqiu-esx 2021/9/26 |
| 第 4 週 | Chapter 4: Machine Learning Basics 2021/10/5 |
| 第 5 週 | Chapter 5: Unsupervised and Supervised Learning 2021/10/12 |
| 第 6 週 | Chapter 6: Stochastic Gradient Descent 2021/10/19 |
| 第 7 週 | Chapter 7: Backpropagation Learning 2021/10/26 |
| 第 8 週 | Mid Exam 2021/11/2 |
| 第 9 週 | Chapter 8: Regularization and Optimization for Deep Learning 2021/11/9 |
| 第 10 週 | Chapter 9: Deep Convolution Neural Networks 2021/11/16 |
| 第 11 週 | Chapter 10: Sequence Modeling: Recurrent and Recursive Nets 2021/11/23 |
| 第 12 週 | General exam 2021/11/30 |
| 第 13 週 | Chapter 11: Face Recognition 2021/12/7 |
| 第 14 週 | Chapter 12: Pedestrian Detection 2021/12/14 |
| 第 15 週 | Chapter 13: Vehicle Analysis 2021/12/21 |
| 第 16 週 | Chapter 13: Vehicle Analysis 2021/12/28 |
| 第 17 週 | overall review 2022/1/4 |
| 第 18 週 | Final Exam 2022/1/11 |
Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville Machine Learning: an algorithm perspective by S. Marsland
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