Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 5 - Recurrent Neural Networks

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

This lecture covers:
1. A bit more about neural networks (10 mins)
2. A new NLP task: Language Modeling (20 mins)
3. A new family of neural networks: Recurrent Neural Networks (RNNs) (25 mins)
4. Problems with RNNs (15 mins)
5. Recap on RNNs/LMs (10 mins)

To learn more about enrolling in this course visit: https://online.stanford.edu/courses/cs224n-natural-language-processing-deep-learning

To follow along with the course schedule and syllabus visit: hhttps://web.stanford.edu/class/archive/cs/cs224n/cs224n.1246/

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