Schedule

Apr, 30 (Tue): 18:00 - 21:00, Lecture by Prof. Fung

Topic: Introduction to Neural Nets and ML problems, relevant linear algebra topics to deep learning.

May, 2 (Wed): 18:00 - 21:00, Lecture by Prof. Fung

Topic: Basic Discrete-time Signal Processing, Model-driven Neural Networks, CNN.

May, 7 (Thu): 18:00 - 21:00, Lecture by Prof. Fung

Topic: CNN, Examples of CNNs, Graph Signal Processing (GSP), Graph Convolutional Neural Network.

Feb, 9 (Fri): 18:00 - 20:00, Workshop by Dmytro Ivakhnenkov &

 Natthakrit Toemphinijtham

Content: Introduction to PyTorch, Project Overview(!).