These lecture materials for Deep Learning are openly available to everyone.
For students: You are encouraged to use these materials to support your studies.
For instructors: You are welcome to use, modify, and distribute these materials in your teaching.
No credit or reference to us is required.
Topics Short Colab Full Colab Slides PowerPoints PS Solution
Python Basics of Python
Introduction pdf
[Machine Learning Basics]
[Deep Learning Basics]
[Learning Strategies]
Midterm
[Visual AI]
FCN: Segmentation, SR, and Deblurring iColab iColab pdf pptx PS#12 Solution
Generative Adversarial Networks (GAN) iColab iColab pdf pptx PS#14 Solution
[Physics-informed AI]
Physics-informed Neural Networks (PINN) iColab iColab pdf pptx PS#18 Solution
Deep Neural Operator: DNO iColab iColab pdf pptx PS#19 Solution
Deep Neural Operator: FNO iColab iColab pdf pptx PS#20 Solution
Embed Prior Knowledge into NN iColab iColab pdf pptx PS#21 Solution
[Sequential & Time-series AI]
Final Exam
Final Project Project
Others
XAI: Layer-wise Relevance Propagation (LRP)
Graph Neural Networks (GNN) iColab iColab pdf pptx PS#30 Solution