Lecture Notes
Slides
- Topic 1: Introduction [PDF]
- Topic 2: Machine Learning [PDF]
- Topic 3: Neural Networks [PDF]
- Topic 4: Backpropagation [PDF]
- Topic 5: Training Neural Network [PDF]
- Topic 6: Convolutional Neural Network [PDF]
- Topic 7: Optimization [PDF]
- Topic 8: Image Segmentation Part I [PDF] Part II [PDF]
- Topic 9: Object Detection [PDF]
- Topic 10: Language Model [PDF]
- Topic 11: RNN and LSTM [PDF]
- Topic 12: Transformer and Large Language Model [PDF]
- Topic 13: Training LLM [PDF]
- Topic 14: Point Cloud Network [PDF]
- Topic 15: Graph Neural Network [PDF]
- Topic 16: Generative Models [PDF]
- Topic 17: Multimodal Generative Models [PDF]
Guest lectures:
- Advanced topics on GNN [PDF], by Dr. Yiwei Wang, April 12,2024
- Optimization for Machine Learning [PDF], by Dr. Aditya Ranganath, April 19,2024
- Generative Models in Computer Vision [PDF], by Dr. Tao Hu, April 26,2024