Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021 - Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 8 - Final Projects; Practical Tips

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)