CS231n Convolutional Neural Networks for Visual RecognitionThese notes accompany the Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition. For questions/concerns/bug reports, please submit a pull request directly to our git repo.
Stanford University CS231n: Deep Learning for Computer Vision
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 holding a mix of in-person and Zoom office hours. You can find a full list of times and locations on the calendar. Contact: Announcements and a
ImageNet Classification with Deep Convolutional Neural Networks
ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky University of Toronto [email protected] Ilya Sutskever University of Toronto [email protected] Geoffrey E. Hinton University of Toronto [email protected] Abstract We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the
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