Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 6 – Simple and LSTM RNNs

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

This lecture covers:
1. RNN Language Models (25min)
2. Other uses of RNNs (8 min)
3. Exploding and vanishing gradients (15 min)
4. LSTMs (20 min)
5. Bidirectional and multi-layer RNNs (12 min)

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)

#naturallanguageprocessing #deeplearning