NTU 2024 EE7207 Neural Networks & Deep Learning

NTU 2024 EE7207 Neural Networks & Deep Learning

Apr 20, 2024 · 1 min read
Photos taken during the course

I was the part-time lecturer for the course EE7207 Neural Networks & Deep Learning at Nanyang Technological University in 2024 (2023 Semester 2). This course is designed for graduate students (especially PhD students) who are interested in learning the fundamental concepts of neural networks and deep learning. My responsible course content includes:

  • Graph Neural Networks (GNN)
    • Introduction to Graph Neural Networks
    • Graph Representation Learning
    • Graph Convolutional Networks
    • Graph Attention Networks
    • GraphSAGE
    • GNN Layers in Application
  • Deep Neural Network in Application
    • Tricks for better training in CNN
    • Classic Netowrk Modules and Elements
    • Computer Vision in Application
    • Advanced Network Architectures
  • Advanced Topics and Discussions
    • 3D Vision
    • Vision-Language Models
    • Open-set Computer Vision
    • Multi-modal LLMs