文件名称:
cs231n_2019_lecture02.pdf
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上传时间: 2019-07-04
详细说明:Administrative: Friday Discussion Sections
(Some) Fridays 12:30pm - 1:20pm in Gates B03 Hands-on tutorials, with more practical detail than main lecture We may not have discussion sections every Friday, check syllabus: http://cs231n.stanford.edu/syllabus.html This Friday: Python / numpy / Google CloAdministrative: Assignment 1
Out yesterday, due 4/1711: 59pm
K-Nearest Neighbor
Linear classifiers SVM. Softmax
TWo-layer neural network
Image features
Fei-Fei Li& Justin Johnson Serena Yeung
Lecture 2-3
Apri14,2019
Administrative: Friday discussion Sections
(Some) Fridays 12: 30pm-1: 20pm in Gates B03
Hands-on tutorials, with more practical detail than main lecture
We may not have discussion sections every Friday, check syllabus
http://cs231n.stanford.edu/syllabus.html
This Friday: Python /numpy Google Cloud setup
Fei-Fei Li& Justin Johnson Serena Yeung
Lecture 2-4
Apri14,2019
Administrative: Course Project
Project proposal due 4/24
Fei-Fei Li& Justin Johnson Serena Yeung
Lecture 2- 5
Apri4,2019
Administrative: Python Numpy
CS231n Convolutional Neural Networks for Visual Recognition
Python Numpy tutorial
This tutorial was contributed by Justin Johnson
We will use the Python programming language for all assignments in this course. Python is a great general-
purpose programming language on its own but with the help of a few popular libraries(numpy, scipy, matplot lib ) it
becomes a powerful environment for scientific computing
We expect that many of you will have some experience with Python and numpy; for the rest of you, this section will
serve as a quick crash course both on the Python programming language and on the use of Python for scientific
computing
http:/cs231n.github.io/python-numpy-tutorial/
Fei-Fei Li& Justin Johnson Serena Yeung
Lecture 2-6
Apri14,2019
Administrative: Google Cloud
We will be using Google Cloud in this class
We will be distributing coupons coupons to all enrolled students
See our tutorial here for walking through Google Cloud setup
https://github.com/cs231n/gcloud
Fei-Fei Li& Justin Johnson Serena Yeung
Lecture 2- 7
Apri14,2019
Image classification: a core task in Computer vision
(assume given set of discrete labels)
idog, cat, truck, plane
cat
This image by Nikita is
licensed under CC-BY 2.0
Fei-Fei Li& Justin Johnson Serena Yeung
Lecture 2-8
Apri14,2019
The Problem: Semantic Gap
[[151121081111049910699961因3112119104979387]
[91981821861847998103991851231361181859485]
[9981819312913112719995981299969318194]
186916164699188851011871899875849695]
[114108
54648711212998748491
[13313714718365818865525474841029385B2]
[12813714414010995867062656363607386101]
[125133148137119121117946579886554647298
[12712513114713312712613111196897561647284]
[1151141991231591481311181131891099274657278
【8993909710814713111811311411310910695778]
77868177
512513011587]
62658289787180181124126119101107114131119]
63657588897162811201381351058198110118
187186956945761381261879294185112]
[1189782861171231166641519593899519217]
1515615212023641212.975958291
[13Q128134161139181091181211341148765536986]
128112961171581441281151641871829387817279]
[12212118280B28694117145148153182587892167]
[1221641481037156788393103119139102616984]]
What the computer sees
An image is just a big grid of
numbers between [0, 255]
eg.800×600X3
This image by Nikita is
(3 channels RGB)
licensed under CC-BY 2.0
Fei-Fei Li& Justin Johnson Serena Yeung
Lecture 2-9
Apri4,2019
Challenges Viewpoint variation
105112
97938
135112105
4809559
91129
日7112129
[11511418912315014813111811310910092745572
8311215314912218910475B818711299
[122164148183715578B393183119139182616984
All pixels change when
the camera moves
This image by Nikita
licensed under CC-BY 2.0
Fei-Fei Li& Justin Johnson Serena Yeung
Lecture 2-10
Apri14,2019
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