Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and word vectors

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and word vectors

HomeStanford OnlineStanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and word vectors
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and word vectors
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For more information about Stanford's professional and graduate programs in artificial intelligence, visit: https://stanford.io/3CORGu1

This conference covers many topics related to natural language understanding, including:
-The Course (10 min)
-Human language and word meaning (15 min)
-Wordzvec Introductions (15 min)
-WordZvec objective function gradients (25 min)
-Basics of optimization (5 min)
-Watch word vectors (10 min for less)

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

To follow the course schedule and schedule, visit: http://web.stanford.edu/class/cs224n/index.html#schedule

00:00 Presentation
00:41 Welcome
01:31 Conference overview
01:56 Conference plan and overview
02:02 Course logistics in brief
02:52 What do we hope to teach in this course?
05:39 Course work and grading policy
07:02 High-level plan for problem sets

#ChristopherManning #natural language processing #deep learning

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