1.機器學習基本原理
2.訓練神經網路模型
3.產業數據收集與分析
4.機器學習與產業數據應用案例1. Basic principles of machine learning
2. Training the neural network model
3. Industrial data collection and analysis
4. Machine learning and industrial data application cases
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition, Aurélien Géron, 出版社 O'Reilly Media, 出版年 2019
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition, Aurélien Géron, Publisher O'Reilly Media, Published 2019
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中報告期中報告 interim report |
20 | |
| 期末報告期末報告 Final report |
30 | |
| 作業作業 Homework |
30 | |
| 出席出席 Attend |
20 |
