AlexNet (Chinese Wikipedia)
Analysis of information sources in references of the Wikipedia article "AlexNet" in Chinese language version.
Last modified:
Ref.Un. Ref.Website
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Chinese rank
1st place
1st place
4th place
4th place
1,418th place
2,581st place
low place
low place
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802nd place
969th place
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adeshpande3.github.io (Global: low place; Chinese: low place)
- Deshpande, Adit. The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3). adeshpande3.github.io. [2018-12-04]. （原始内容存档于2018-11-21）.
arxiv.org (Global: 49th place; Chinese: 158th place)
- Ciresan, Dan; Meier, Ueli; Schmidhuber, Jürgen. Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). June 2012: 3642–3649. CiteSeerX 10.1.1.300.3283
. ISBN 978-1-4673-1226-4. OCLC 812295155. arXiv:1202.2745 . doi:10.1109/CVPR.2012.6248110. |journal=被忽略 (帮助)
doi.org (Global: 2nd place; Chinese: 5th place)
- Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. 2017-05-24, 60 (6): 84–90 [2020-01-17]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
- Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
- Ciresan, Dan; Meier, Ueli; Schmidhuber, Jürgen. Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). June 2012: 3642–3649. CiteSeerX 10.1.1.300.3283 . ISBN 978-1-4673-1226-4. OCLC 812295155. arXiv:1202.2745 . doi:10.1109/CVPR.2012.6248110.
|journal=被忽略 (帮助) - LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner. Gradient-based learning applied to document recognition (PDF). Proceedings of the IEEE. 1998, 86 (11): 2278–2324 [2016-10-07]. CiteSeerX 10.1.1.32.9552 . doi:10.1109/5.726791. （原始内容 (PDF)存档于2017-12-15）.
- Fukushima, K. Neocognitron. Scholarpedia. 2007, 2 (1): 1717. doi:10.4249/scholarpedia.1717.
- Fukushima, Kunihiko. Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF). Biological Cybernetics. 1980, 36 (4): 193–202 [2013-11-16]. PMID 7370364. doi:10.1007/BF00344251. （原始内容存档 (PDF)于2014-06-03）.
idsia.ch (Global: low place; Chinese: low place)
idsia.ch
- Ciresan, Dan; Ueli Meier; Jonathan Masci; Luca M. Gambardella; Jurgen Schmidhuber. Flexible, High Performance Convolutional Neural Networks for Image Classification (PDF). Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence-Volume Volume Two. 2011, 2: 1237–1242 [2013-11-17]. （原始内容存档 (PDF)于2013-11-16）.
people.idsia.ch
- Schmidhuber, Jürgen. History of computer vision contests won by deep CNNs on GPU. 2017-03-17 [2019-01-14]. （原始内容存档于2018-12-19）.
image-net.org (Global: low place; Chinese: low place)
- ILSVRC2012 Results. [2020-01-17]. （原始内容存档于2020-01-16）.
ini.rub.de (Global: low place; Chinese: low place)
benchmark.ini.rub.de
- IJCNN 2011 Competition result table. OFFICIAL IJCNN2011 COMPETITION. 2010 [2019-01-14]. （原始内容存档于2019-01-21）.
inria.fr (Global: 6,372nd place; Chinese: 5,579th place)
hal.inria.fr
- Kumar Chellapilla; Sid Puri; Patrice Simard. High Performance Convolutional Neural Networks for Document Processing. Lorette, Guy (编). Tenth International Workshop on Frontiers in Handwriting Recognition. Suvisoft. 2006 [2020-01-17]. （原始内容存档于2020-05-18）.
lecun.com (Global: low place; Chinese: low place)
yann.lecun.com
- Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition （页面存档备份，存于互联网档案馆）; AT&T Bell Laboratories
- LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner. Gradient-based learning applied to document recognition (PDF). Proceedings of the IEEE. 1998, 86 (11): 2278–2324 [2016-10-07]. CiteSeerX 10.1.1.32.9552 . doi:10.1109/5.726791. （原始内容 (PDF)存档于2017-12-15）.
nih.gov (Global: 5th place; Chinese: 3rd place)
ncbi.nlm.nih.gov
- Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
- Fukushima, Kunihiko. Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF). Biological Cybernetics. 1980, 36 (4): 193–202 [2013-11-16]. PMID 7370364. doi:10.1007/BF00344251. （原始内容存档 (PDF)于2014-06-03）.
nips.cc (Global: low place; Chinese: 8,512th place)
papers.nips.cc
- Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. 2017-05-24, 60 (6): 84–90 [2020-01-17]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
princeton.edu (Global: 802nd place; Chinese: 969th place)
cs.princeton.edu
- Fukushima, Kunihiko. Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF). Biological Cybernetics. 1980, 36 (4): 193–202 [2013-11-16]. PMID 7370364. doi:10.1007/BF00344251. （原始内容存档 (PDF)于2014-06-03）.
psu.edu (Global: 299th place; Chinese: 591st place)
citeseerx.ist.psu.edu
- Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
- Ciresan, Dan; Meier, Ueli; Schmidhuber, Jürgen. Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). June 2012: 3642–3649. CiteSeerX 10.1.1.300.3283 . ISBN 978-1-4673-1226-4. OCLC 812295155. arXiv:1202.2745 . doi:10.1109/CVPR.2012.6248110.
|journal=被忽略 (帮助) - LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner. Gradient-based learning applied to document recognition (PDF). Proceedings of the IEEE. 1998, 86 (11): 2278–2324 [2016-10-07]. CiteSeerX 10.1.1.32.9552 . doi:10.1109/5.726791. （原始内容 (PDF)存档于2017-12-15）.
qz.com (Global: 1,740th place; Chinese: 1,612th place)
- Dave Gershgorn. The inside story of how AI got good enough to dominate Silicon Valley. Quartz. 2018-06-18 [2018-10-05]. （原始内容存档于2019-12-12）.
- The data that transformed AI research—and possibly the world. [2020-01-17]. （原始内容存档于2017-07-27）.
scholar.google.com (Global: 1,418th place; Chinese: 2,581st place)
- AlexNet paper on Google Scholar. [2024-07-02]. （原始内容存档于2023-06-23）.
- Alex Krizhevsky. Google Scholar Citations. [2020-01-17]. （原始内容存档于2020-04-17）.
scholarpedia.org (Global: low place; Chinese: low place)
- Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
web.archive.org (Global: 1st place; Chinese: 1st place)
- Dave Gershgorn. The inside story of how AI got good enough to dominate Silicon Valley. Quartz. 2018-06-18 [2018-10-05]. （原始内容存档于2019-12-12）.
- The data that transformed AI research—and possibly the world. [2020-01-17]. （原始内容存档于2017-07-27）.
- ILSVRC2012 Results. [2020-01-17]. （原始内容存档于2020-01-16）.
- Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. 2017-05-24, 60 (6): 84–90 [2020-01-17]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
- Kumar Chellapilla; Sid Puri; Patrice Simard. High Performance Convolutional Neural Networks for Document Processing. Lorette, Guy (编). Tenth International Workshop on Frontiers in Handwriting Recognition. Suvisoft. 2006 [2020-01-17]. （原始内容存档于2020-05-18）.
- Ciresan, Dan; Ueli Meier; Jonathan Masci; Luca M. Gambardella; Jurgen Schmidhuber. Flexible, High Performance Convolutional Neural Networks for Image Classification (PDF). Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence-Volume Volume Two. 2011, 2: 1237–1242 [2013-11-17]. （原始内容存档 (PDF)于2013-11-16）.
- IJCNN 2011 Competition result table. OFFICIAL IJCNN2011 COMPETITION. 2010 [2019-01-14]. （原始内容存档于2019-01-21）.
- Schmidhuber, Jürgen. History of computer vision contests won by deep CNNs on GPU. 2017-03-17 [2019-01-14]. （原始内容存档于2018-12-19）.
- Schmidhuber, Jürgen. Deep Learning. Scholarpedia. 2015, 10 (11): 1527–54 [2020-01-17]. CiteSeerX 10.1.1.76.1541 . PMID 16764513. doi:10.1162/neco.2006.18.7.1527. （原始内容存档于2016-04-19）.
- Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, Backpropagation Applied to Handwritten Zip Code Recognition （页面存档备份，存于互联网档案馆）; AT&T Bell Laboratories
- LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner. Gradient-based learning applied to document recognition (PDF). Proceedings of the IEEE. 1998, 86 (11): 2278–2324 [2016-10-07]. CiteSeerX 10.1.1.32.9552 . doi:10.1109/5.726791. （原始内容 (PDF)存档于2017-12-15）.
- Fukushima, Kunihiko. Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position (PDF). Biological Cybernetics. 1980, 36 (4): 193–202 [2013-11-16]. PMID 7370364. doi:10.1007/BF00344251. （原始内容存档 (PDF)于2014-06-03）.
- Deshpande, Adit. The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3). adeshpande3.github.io. [2018-12-04]. （原始内容存档于2018-11-21）.
- AlexNet paper on Google Scholar. [2024-07-02]. （原始内容存档于2023-06-23）.
- Alex Krizhevsky. Google Scholar Citations. [2020-01-17]. （原始内容存档于2020-04-17）.
worldcat.org (Global: 4th place; Chinese: 4th place)
- Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet classification with deep convolutional neural networks (PDF). Communications of the ACM. 2017-05-24, 60 (6): 84–90 [2020-01-17]. ISSN 0001-0782. doi:10.1145/3065386. （原始内容存档 (PDF)于2017-05-16）.
- Ciresan, Dan; Meier, Ueli; Schmidhuber, Jürgen. Multi-column deep neural networks for image classification. New York, NY: Institute of Electrical and Electronics Engineers (IEEE). June 2012: 3642–3649. CiteSeerX 10.1.1.300.3283 . ISBN 978-1-4673-1226-4. OCLC 812295155. arXiv:1202.2745 . doi:10.1109/CVPR.2012.6248110.
|journal=被忽略 (帮助)