Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021 - Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 9 - Self- Attention and Transformers

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3CvTOGY This lecture covers: 1. Impact of Transformers on NLP (and ML more broadly) 2. From Recurrence (RNNs) to Attention-Based NLP Models 3. Understanding the Transformer Model 4. Drawbacks and Variants of Transformers To learn more about this course visit: https://online.stanford.edu/courses/cs224n-natural-language-processing-deep-learning To follow along with the course schedule and syllabus visit: http://web.stanford.edu/class/cs224n/ John Hewitt PhD student in Computer Science at Stanford University Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) #deeplearning #naturallanguageprocessing