NCHU Course Outline
Course Name (中) 深度學習(5124)
(Eng.) Deep learning
Offering Dept Graduate Institute of Data Science and Information Computing
Course Type Elective Credits 3 Teacher Hao-Chiang Shao
Department Department of Applied Mathematics (Data Science and Computing Program) / Undergraduate Language Chinese 英文/EMI Semester 2025-FALL
Course Description 1.了解自2012年AlexNet問世迄今,深度學習技術的主要發展技術歷程與近年相關技術理論、以及相關應用。
2.了解如何執行deep learning的模型訓練、佈屬等。
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
1.了解自2012年AlexNet問世迄今,深度學習技術的主要發展技術歷程與近年相關技術理論、以及相關應用。
2.了解如何執行deep learning的模型訓練、佈屬等。
1.Basic Knowledge in Mathematical Sciences
4.Professional Knowledge in Scientific Computation
50
50
topic Discussion / Production
Networking / Distance Education
Lecturing
Written Presentation
Oral Presentation
Assignment
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Introduction to deep learning
Week 2 Machine Learning Basics
Week 3 Introduction to deep convolutional neural network (filter, kernel, signal processing basics)
Week 4 Introduction to deep convolutional neural network (classifier-1)
Week 5 Introduction to deep convolutional neural network (classifier-2)
Week 6 Autoencoder, Unet, and Segmentation networks
Week 7 Latent code, Deep feature tensors, and multi-dimensional scaling
Week 8 Object detection networks
Week 9 Take-home Midterm or Term Project Proposal
Week 10 Data Augmentation Methods (1)
Week 11 Long-tailed Distribution Data Classification
Week 12 Data Augmentation Methods (2)
Week 13 Introduction to Generative Adversarial Networks (GANs)
Week 14 Introduction to Domain Adaptation and Domain Generalization
Week 15 Introduction to Active Learning
Week 16 Introduction to Anomaly Detection Term Project Presentation Term Project Presentation
self-directed
learning

Evaluation
By default: Homework (25%*3) + Term-Project/Report (25%)
If necessary, we can still make some modification.
Textbook & other References
Goodfellow et al., ”Deep Learning”, web-version available.
Teaching Aids & Teacher's Website

Office Hours
預約
Sustainable Development Goals, SDGs(Link URL)
include experience courses:N
Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day:None Printed Date, year/month/day:2025 / 7 / 02
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