Schedule for In-class Presentations

Date	Topic	Suggested Readings	Reference	Homework
Aug. 26, 30	Introduction Mathematics Machine Learning Basics	Deep Learning Book Chap. 2 Chap. 3 Chap. 5
Sep. 9, 6	Feedforward Neural Networks & Optimization Tricks	Deep Learning Book Chap. 6 Chap. 7 Chap. 8
Sep. 16, 13	PyTorch part 1 PyTorch Part 2	Python Numpy Tutorial Neural Network from Scratch Dive into Deep Learning		HW1 (to be announced)
Sep. 23, 20	Convolutional Neural Networks & Recurrent Neural Networks	Deep Learning Book Chap. 9 Chap. 10	ResNet GRU DenseNet
Oct. 1, 27	NLP Basis	Word2Vec	SGNS
Oct. 7, 4	Attention, Transformers	Transformer
Oct. 16, 11	Introduction to Huggingface & Kaggle Challenge (Notebook)			HW2 (to be announced)
Oct. 28, 25	Large Language Models I	BERT GPT-3 Survey of Pre-trained LMs		TBD
Nov. 04, 01	Large Language Models II - Prompt Tuning	Chain-of-Thought Self Consistency ReAct
Nov. 11, 08	Generative Models I	GAN VAE	TBD
Nov. 18, 15	Diffusion, text-to-image generation	CLIP Sora
Nov. 25, 22	Graph Representation Learning	DeepWalk LINE GCN