Holiday
GEN IV綜四219 S2S3S4
簡介深度學習的技術,包括各種具代表性的深度學習神經網路模型,如何進行模型的訓練,以及其相關的實際應用。另 外,此課程將著重在實作深度學習的模型以及如何達到模型的訓練以解決實際的問題。
Course keywords: 人工智慧, 深度學習, 神經網路模型, Artificial Neural Network, Deep Learning, Neural Network Model ●教學方式(Teaching Method) 投影片授課 / 實例示範 ● 教學進度(Syllabus) Week 1: Basics of Machine Learning Week 2: Artificial Neural Network and backpropagation Week 3: Convolutional Neural Networks Week 4: Transformers Week 5: Deep Learning software frameworks Week 6: Architecture Design Choices Week 7: Sample Applications with CNNs Week 8: Generative Adversarial Networks (GAN) Week 9: Sample Applications with GAN models Week 10: Recurrent Neural Network and LSTM Week 11: Midterm Exam Week 12: Deep Attention Learning Week 13: Practical model training techniques Week 14: Anomaly detection Week 15: Domain Adaptation Week 16: Federated learning Week 17: Smart manufacturing Week 18: Final project presentation ● 成績考核(Evaluation) 作業、考試、課程專題、課堂參與 ● 可連結之網頁位址 https://eeclass.nthu.edu.tw/
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Average GPA 4.09
Std. Deviation 0.24
限智慧製造高階在職學位學程專班1年級
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