Stanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher Manning - Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 6 - Sequence to Sequence Models

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: 1. Exploding and vanishing gradients (20 mins) 2. Long Short-Term Memory RNNs (LSTMs) (20 mins) 3. Other uses of RNNs (5 mins) 4. Bidirectional and multi-layer RNNs (15 mins) 5. Machine translation (10 mins) 6. Neural machine translation introduction (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)