AlexNet (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "AlexNet" in English language version.

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acm.org (Global: 1,185th place; English: 840th place)

dl.acm.org

arstechnica.com (Global: 388th place; English: 265th place)

arxiv.org (Global: 69th place; English: 59th place)

code.google.com (Global: 4,942nd place; English: 4,061st place)

computerhistory.org (Global: 2,213th place; English: 1,495th place)

d2l.ai (Global: low place; English: low place)

doi.org (Global: 2nd place; English: 2nd place)

github.com (Global: 383rd place; English: 320th place)

harvard.edu (Global: 18th place; English: 17th place)

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idsia.ch (Global: low place; English: low place)

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people.idsia.ch

illinois.edu (Global: 1,349th place; English: 866th place)

vision.ai.illinois.edu

image-net.org (Global: low place; English: low place)

inria.fr (Global: 4,903rd place; English: 3,679th place)

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isca-speech.org (Global: low place; English: low place)

lecun.com (Global: low place; English: low place)

yann.lecun.com

neurips.cc (Global: low place; English: low place)

proceedings.neurips.cc

  • Taskar, Ben; Guestrin, Carlos; Koller, Daphne (2003). "Max-Margin Markov Networks". Advances in Neural Information Processing Systems. 16. MIT Press.

nih.gov (Global: 4th place; English: 4th place)

pubmed.ncbi.nlm.nih.gov

nips.cc (Global: low place; English: 7,050th place)

papers.nips.cc

  • Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (2017-05-24). "ImageNet classification with deep convolutional neural networks" (PDF). Communications of the ACM. 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782. S2CID 195908774.

princeton.edu (Global: 741st place; English: 577th place)

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psu.edu (Global: 207th place; English: 136th place)

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pypi.org (Global: low place; English: low place)

rub.de (Global: low place; English: low place)

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scholar.google.com (Global: 1,697th place; English: 1,040th place)

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

  • Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (2017-05-24). "ImageNet classification with deep convolutional neural networks" (PDF). Communications of the ACM. 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782. S2CID 195908774.
  • Fukushima, Kunihiko (1980). "Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position" (PDF). Biological Cybernetics. 36 (4): 193–202. doi:10.1007/BF00344251. PMID 7370364. S2CID 206775608. Retrieved 16 November 2013.
  • LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner (1998). "Gradient-based learning applied to document recognition" (PDF). Proceedings of the IEEE. 86 (11): 2278–2324. CiteSeerX 10.1.1.32.9552. doi:10.1109/5.726791. S2CID 14542261. Retrieved October 7, 2016.
  • Cireșan, Dan; Meier, Ueli; Schmidhuber, Jürgen (June 2012). "Multi-column deep neural networks for image classification". 2012 IEEE Conference on Computer Vision and Pattern Recognition. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). pp. 3642–3649. arXiv:1202.2745. CiteSeerX 10.1.1.300.3283. doi:10.1109/CVPR.2012.6248110. ISBN 978-1-4673-1226-4. OCLC 812295155. S2CID 2161592.

techpowerup.com (Global: 4,960th place; English: 3,052nd place)

web.archive.org (Global: 1st place; English: 1st place)

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

  • Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. (2017-05-24). "ImageNet classification with deep convolutional neural networks" (PDF). Communications of the ACM. 60 (6): 84–90. doi:10.1145/3065386. ISSN 0001-0782. S2CID 195908774.
  • LeCun, Y.; Boser, B.; Denker, J. S.; Henderson, D.; Howard, R. E.; Hubbard, W.; Jackel, L. D. (1989). "Backpropagation Applied to Handwritten Zip Code Recognition" (PDF). Neural Computation. 1 (4). MIT Press - Journals: 541–551. doi:10.1162/neco.1989.1.4.541. ISSN 0899-7667. OCLC 364746139.
  • Cireșan, Dan; Meier, Ueli; Schmidhuber, Jürgen (June 2012). "Multi-column deep neural networks for image classification". 2012 IEEE Conference on Computer Vision and Pattern Recognition. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). pp. 3642–3649. arXiv:1202.2745. CiteSeerX 10.1.1.300.3283. doi:10.1109/CVPR.2012.6248110. ISBN 978-1-4673-1226-4. OCLC 812295155. S2CID 2161592.