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