CS231n: Convolutional Neural Networks for Visual Recognition
GPTKB entity
Statements (32)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:university
|
| gptkbp:availableOn |
yes
|
| gptkbp:course |
gptkb:CS231n
|
| gptkbp:focusesOn |
computer vision
convolutional neural networks deep learning |
| gptkbp:hasLectureNotes |
yes
|
| gptkbp:hasLectureVideos |
gptkb:YouTube
|
| gptkbp:hasWebsite |
http://cs231n.stanford.edu/
|
| gptkbp:languageOfInstruction |
English
|
| gptkbp:offeredBy |
gptkb:Stanford_University
2015 |
| gptkbp:prerequisite |
probability
linear algebra Python programming machine learning basics |
| gptkbp:targetAudience |
graduate students
advanced undergraduates |
| gptkbp:teaches |
gptkb:Serena_Yeung
gptkb:Andrej_Karpathy gptkb:Fei-Fei_Li gptkb:Justin_Johnson |
| gptkbp:topic |
backpropagation
optimization transfer learning image classification object detection neural network architectures visual recognition tasks |
| gptkbp:bfsParent |
gptkb:Andrej_Karpathy
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
CS231n: Convolutional Neural Networks for Visual Recognition
|