Class schedule

This schedule is tentative and subject to change. Please check back here often.

Date	Lecture topic	Slides / Handouts	Homework
1/19	Week 1: Intro to NLP	Lecture 1
1/26	Week 2: Lexical embeddings	Lecture 2	Homework #1
2/2	Week 3: Neural networks 101	Lecture 3	Homework #2: Word2vec.
2/9	Week 4: Neural networks 201	Lecture 4	Python code style quiz, due Mon Feb 13 before class Homework #3, due Thu Feb 16 before class
2/16	Week 5: Neural networks 301 (activation functions and initializations)	Lecture 5 Notebook
2/23	Week 6: Attention mechanism
3/2	Week 7: Sequence-to-sequence models
3/9	No class -- Spring recess
3/16	Week 8: Transfer learning in NLP
3/23	Week 9: Pre-training variants
3/30	Week 10: Effects of scale in NLP
4/6	Week 11
4/13	Week 12
4/20	Week 13
4/27	Week 14