CS224n

CS224n: Natural Language Processing with Deep Learning

Website

2023 course website videos

Overview

Natural language processing (NLP) is a crucial part of artificial intelligence, one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement, emails, customer service, language translation, virtual assistants, etc. This course is designed to introduce you to deep learning for NLP and will cover a broad range of topics fundamental to NLP such as word vector representations, window-based neural networks, recurrent neural networks, long-short-term-memory models, recursive neural networks, convolutional neural networks as well as very recent models involving a memory component and attention. The course will end with some pointers to very current research including very large-scale models.

Schedule

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#	Title	Resources
1	Introduction and Word Vectors
2	Word Vectors and Word Senses
3	Neural Networks
4	Dependency Parsing
5	Recurrent Neural Networks
6	LSTM and GRU
7	Machine Translation and Attention
8	Transformers
9	Pretraining and BERT
10	Question Answering
11	Natural Language Generation
12	Coreference Resolution
13	T5 and Large Language Models
14	Multimodal Deep Learning
15	Tree Recursive Neural Networks
16	Safety and AI Alignment
17	Model Analysis and Explanation
18	Future of NLP