For more information about Stanford’s Artificial Intelligence professional and graduate programs visit: https://stanford.io/3w46jar This lecture covers: 1. The course (10min) 2. Human language and word meaning (15 min) 3. Word2vec algorithm introduction (15 min) 4. Word2vec objective function gradients (25 min) 5. Optimization basics (5min) 6. Looking at word vectors (10 min or less) Key learning: The (really surprising!) result that word meaning can be representing rather well by a large vector of real numbers. This course will teach: 1. The foundations of the effective modern methods for deep learning applied to NLP. Basics first, then key methods used in NLP: recurrent networks, attention, transformers, etc. 2. A big picture understanding of human languages and the difficulties in understanding and producing them 3. An understanding of an ability to build systems (in Pytorch) for some of the major problems in NLP. Word meaning, dependency parsing, machine translation, question answering. 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)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3CORGu1 This lecture covers many topics within 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) -Optimization basics (5 min) -Looking at word vectors (10 min for less) Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule 00:41 Welcome 01:31 Overview for the lecture 01:56 Lecture Plan & 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 #naturallanguageprocessing #deeplearning
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3n7saLk Professor Christopher Manning & PhD Candidate Abigail See, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Depe55 Professor Christopher Manning, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3waBO2R Jacob Devlin, Google AI Language https://research.google/people/106320/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3nd2ZH2 Professor Christopher Manning, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule
Professor Christopher Manning, Stanford University & Margaret Mitchell, Google AI http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit: http://learn.stanford.edu/AI.html To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
Professor Christopher Manning & PhD Candidate Abigail See, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial Intelligence Laboratory (SAIL) To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit: http://learn.stanford.edu/AI.html To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu