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CS224d: Deep Learning for Natural Language Processing. Previous Years Project Reports. Detailed Syllabus (with materials). Class Time and Location. Spring quarter (March - June, 2015). Lecture: Monday, Wednesday 1:00-2:15. Wed 2:15-3:30pm, Gates 200. For research and project discussions). Thu 6:30-8:30, Huang Basement. Mon, 3-5pm, Gates B26A (Gates Basement). Tues, 4-6pm, Gates 200. Tues, 6-8pm, Gates 200. Mon, 5-7pm, Gates B26A (Gates Basement). Fri, 2:30-4:30pm, Huang Basement. See the Assignment Page.
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Stanford CS 226: Statistical Techniques in Robotics (Prof. Sebastian Thrun). CS226 Statistical Techniques in Robotics. CS 226 is a graduate-level course that introduces students to the fascinating world of probabilistic robotics. As in past years, we seek to leverage student projects to a conference-publishable level. CS 2236 Statistical Techniques in Robotics Stanford University.
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The first discussion section will be held on Friday 9/26, in the NVIDIA auditorium, from 4:15 - 5:05 pm. It will cover some materials in linear algebra useful for this course. The first class will be held at 9:00 am on Monday 9/22, in the NVIDIA auditorium. We look forward to seeing you there! Data for problem set 1 can be downloaded here q1x.dat. The project guideline has been released. Please check here. The suggested projects list has been released. Please check here. Materials from the Matlab tutorial.
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All future course announcements will be made at http:/ stanford.ml-class.org/. Final Project Guideline: projectGuidelines.pdf. The first class will meet on Monday September 26th, 4.15-5.30pm in Hewlett 103. We hope to see you there! What is machine learning? This class' emphasis is on Applied. How will this class work? This is an online. How can I find out more about the class? Additional information is on the Course Information. Page Common questions are also answered on the FAQ. How do I sign up?
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