For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3CrtdLe
This lecture covers:
1. Attention [25 mins]
2. Final bit of neural machine translation [10 mins]
3. Final project types and details; assessment revisited [15 mins]
4. Finding research topics; a couple of examples [20 mins]
5. Finding data [10 mins]
6. Care with datasets and in model development [10 mins]
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)
Stanford,AI,Deep Learning,NLP,CS224N
