For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai

This lecture covers:
1. From recurrence (RNN) to attention-based NLP models
2. The Transformer model
3. Great results with Transformers
4. Drawbacks and variants of Transformers

To learn more about this course visit: https://online.stanford.edu/courses/c...
To follow along with the course schedule and syllabus visit: http://web.stanford.edu/class/cs224n/

John Hewitt
https://nlp.stanford.edu/~johnhew/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

#naturallanguageprocessing #deeplearning