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The Convolutional Neural Network in this example is classifying images live in your browser using Javascript, at about 10 milliseconds per image. It takes an input image and transforms it through a series of functions into class probabilities at the end. The transformed representations in this visualization can be losely thought of as the activations of the neurons along the way. The parameters of
Schedule and Syllabus Unless otherwise specified the course lectures and meeting times are: Monday, Wednesday 2:15-3:30 Bishop Auditorium in Lathrop Building ( map )
Index of /slides NameLast modifiedSizeDescription Parent Directory - 2015/2017-04-14 19:48 - 2016/2017-04-14 19:47 - 2017/2017-06-02 16:11 - 2018/2018-06-02 00:50 - 2019/2019-05-30 01:47 - 2020/2020-06-09 10:15 - 2021/2021-05-30 13:33 - 2022/2022-05-24 14:46 - 2023/2023-06-01 16:29 - 2024/2024-06-03 01:00 -
Lecture 7 - 27 Jan 2016Fei-Fei Li & Andrej Karpathy & Justin JohnsonFei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 7 - 27 Jan 20161 Lecture 7: Convolutional Neural Networks Lecture 7 - 27 Jan 2016Fei-Fei Li & Andrej Karpathy & Justin JohnsonFei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 7 - 27 Jan 20162 Administrative A2 is due Feb 5 (next Friday) Project proposal due Jan 30 (Saturd
4321 Is he Chinese, Korean or Japanese? Yu Yan Stanford University 450 Serra Mall, Stanford, CA 94305 yuyan1@stanford.edu Abstract This is an attempt to build a classifier which can distinguish between Chinese, Korean and Japanese faces. 2 new dataset was constructed for this task and different variations of convolutional neural networks were applied on the dataset. SVM and KNN classifiers were tra
Course Logistics Lectures: Tuesday/Thursday 12:00-1:20PM Pacific Time at NVIDIA Auditorium. Lecture Videos: Will be posted on Canvas shortly after each lecture. These are unfortunately only accessible to enrolled Stanford students. Office Hours: We will be using Zoom for office hours. You can find a full list of times and locations on the calendar. Contact: Announcements and all course-related que
Final Project Reports and Posters Please see the Project page for details regarding the final project. Tweet Showing 139 of 174 projects (35 requested to remain private). Project nameAuthors
Schedule and Syllabus The Spring 2020 iteration of the course will be taught virtually for the entire duration of the quarter. (more information available here ) Unless otherwise specified the lectures are Tuesday and Thursday 12pm to 1:20pm. Discussion sections will (generally) be Fridays 12:30pm to 1:20pm. Check Piazza for any exceptions. Lectures and discussion sections will be both on Zoom, an
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