人工智慧原理與實務
Artificial Intelligence: Concept and Practice
| 節 | 週一 |
|---|---|
3 10:10–11:00 | 人工智慧原理與實務 YR319（陽明） 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
本課程將會講授人工智慧的基礎知識,同時會也介紹基礎的人工智慧演算法以及實作演算法。在課程的期末專案,學生可以完成一個人工智慧應用。Conducting in English Artificial intelligence (AI) refers as simulation of human intelligence demonstrated by computers. The goal of AI is to create systems that understand, think, learn, and behave like humans to solve practical problems. Nowadays, many applications achieve great success by adopting AI, and, more over, AI technology can be more intelligent than human. In this course, we will study the most fundamental knowledge for understanding AI. We will introduce the basic AI algorithms and implementation of hands-on applications of these algorithms. In the final project, students will complete their AI-based applications.
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無備註
本課程主要的目的是要讓學生了解人工智慧基礎知識,同時學生可以學習如何撰寫人工智慧應用的程式。The purpose of this course is to provide the most fundamental knowledge to the students so that they can understand what the AI is. Meanwhile, students can learn how to programming AI for applications in practice.
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Artificial Intelligence |
| 第 2 週 | Introduction to Artificial Intelligence |
| 第 3 週 | The Concept of Machine Learning |
| 第 4 週 | Machine Learning in Practice (1) |
| 第 5 週 | Machine Learning in Practice (2) |
| 第 6 週 | The Concept of Deep Learning |
| 第 7 週 | Tomb Sweeping Day |
| 第 8 週 | Introduction to Docker and Tools |
| 第 9 週 | Convolutional Neural Network in Practice: Classification |
| 第 10 週 | Convolutional Neural Network in Practice: Object Detection |
| 第 11 週 | Convolutional Neural Network in Practice: Segmentation |
| 第 12 週 | Final Project Presentation: Topic |
| 第 13 週 | Recurrent Neural Network in Practice |
| 第 14 週 | Natural Language Processing in Practice |
| 第 15 週 | Inference on Embedded System |
| 第 16 週 | Final Projection Presentation: Demonstration |
| 第 17 週 | Dragon Boat Festival |
| 第 18 週 | Final Projection Tuning |
Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville ISBN: 0262035618 2016 Introduction to Deep Learning Eugene Charniak ISBN: 0262039516 2019
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