Stanford CS224N – NLP w/ DL | Winter 2021 | Lecture 5 – Recurrent Neural networks (RNNs)

For more information about Stanford’s Artificial Intelligence professional and graduate programs visit: https://stanford.io/3bqFlQV

This lecture will cover:
1. Neural dependency parsing (20 mins)
2. A bit more about neural networks (15 mins)
3. Language modeling + RNNs (45 mins)
A new NLP task: Language Modeling
A new family of neural networks: Recurrent Neural networks (RNNs)

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/

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