本課程目的在透過人工智慧，訓練同學跨領域應用人工智慧解決物理問題的能力。
本課程內容包括:
1. 3D繪圖與列印
2. 樹莓派控制板與Linux作業系統
3. 感測器,GPIO與藍芽無線控制
4. Python程式設計
5. OpenCV電腦視覺程式應用
6. Tensorflow、Keras 機器學習人工智慧應用
7.深度學習方法: 卷積神經網路(CNN)、自编碼器(autoencoder)
8.自駕車
9.自駕船
10.智慧潛水艇
The purpose of this course is to train students in the ability to apply artificial intelligence across domains to solve physical problems through artificial intelligence.
The course includes:
1. 3D drawing and printing
2. The Spiral Pi Control Board and Linux Operating System
3. Sensor, GPIO and blue bud wireless control
4. Python Programming
5. OpenCV computer visual application
6. Tensorflow, Keras Machine Learning Artificial Intelligence Applications
7. Deep learning methods: Volume neural network (CNN), self-coders (autoencoder)
8. Self-driving car
9. Self-driving ship
10. Smart diving boat
教學講義
https://physexp.thu.edu.tw/~AP/YC/AISUB/
Teaching Lecture
https://physexp.thu.edu.tw/~AP/YC/AISUB/
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期末考期末考 Final exam |
100 |
