深度學習於電腦視覺 Deep Learning for Computer Vision

深度學習於電腦視覺 Deep Learning for Computer Vision

The syllabuses on both this page and the NTU online course information are synchronized.

Course Information

Item Content
Course title Deep Learning for Computer Vision
Semester 111-1
Designated for GRADUATE INSTITUTE OF COMMUNICATION ENGINEERING
GRADUATE INSTITUTE OF ELECTRICAL ENGINEERING
Intelligent Medicine Program
Instructor YU-CHIANG WANG
Curriculum No. CommE 5052
Curriculum Id No. 942 U0660
Class
Credit 3
Full/Half Yr. Half
Required/Elective Elective
Time Tuesday 2,3,4(9:10~12:10)
Place 博理112
Remarks

 

Course Syllabus

Item Content
Course Description
Course Objective
Course Requirement
Student Workload (expected study time outside of class per week)
References
Designated Reading

 

Progress

Week Date Topic
Week 1 09/06 Course logistics & registration; Machine Learning 101
Week 2 09/13 Introduction to Convolutional Neural Networks (I)
Week 3 09/20 Introduction to Convolutional Neural Networks (II) ​​Tutorials on Python, Github, etc. (by TAs)
Week 4 09/27 Object Detection & Segmentation; Generative Model
Week 5 10/04 Generative Adversarial Networks, and Diffusion Model
Week 6 10/11 ​Transfer Learning for Visual Classification & Synthesis
Week 7 10/18 ​Guest Lecture (TBD)
Week 8 10/25 Recurrent Neural Networks​
Week 9 11/01 Transformer; Vision & Language (I)
Week 10 11/08 Vision & Language (II); Few-Shot Learning (I)
Week 11 11/15 N/A
Week 12 11/22 3D Vision
Week 13 11/29 Announcement of Final Project
Week 14 12/06 Self-Supervised Learning & Guest Lecture
Week 15 12/13 Federated Learning, Domain Generalization and More Advanced Topics
Week 17 12/29 Thur Presentation for Final Projects

 

Grading

NO Item Pc Explanations for the conditions
1 HW 1 15%
2 HW 2 15%
3 HW 3 18%
4 HW 4 18%
5 Final Project 34%

 

Adjustment methods for students

Adjustment method
Teaching methods
Assignment submission methods
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Office Hour

NO Day Start time End time
Remarks None