گرادیان کاهشی تصادفی (Persian Wikipedia)

Analysis of information sources in references of the Wikipedia article "گرادیان کاهشی تصادفی" in Persian language version.

refsWebsite

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8web.archive.org

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3doi.org

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3arxiv.org

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2jmlr.org

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1pnas.org

1,293^rd place

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1worldcat.org

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1nih.gov

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1stanford.edu

179^th place

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1aclweb.org

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5,397^th place

1lecun.com

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1seg.org

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1hackernoon.com

low place

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1medium.com

551^st place

737^th place

1harvard.edu

18^th place

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1ufl.edu

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1ucsd.edu

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1toronto.edu

low place

aclweb.org

Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning (2008). Efficient, Feature-based, Conditional Random Field Parsing بایگانی‌شده در ۱۴ اوت ۲۰۱۸ توسط Wayback Machine. Proc. Annual Meeting of the ACL.

arxiv.org

Diederik, Kingma; Ba, Jimmy (2014). "Adam: A method for stochastic optimization". arXiv:1412.6980 [cs.LG].
Zeiler, Matthew D. (2012). "ADADELTA: An adaptive learning rate method". arXiv:1212.5701 [cs.LG].
Zeiler, Matthew D. (2012). "ADADELTA: An adaptive learning rate method". arXiv:1212.5701 [cs.LG].

doi.org

Mei, Song; Montanari, Andrea; Nguyen, Phan-Minh (2018-08-14). "A mean field view of the landscape of two-layer neural networks". Proceedings of the National Academy of Sciences. 115 (33): E7665–E7671. doi:10.1073/pnas.1806579115. ISSN 0027-8424. PMID 30054315.
Rumelhart, David E.; Hinton, Geoffrey E.; Williams, Ronald J. (8 October 1986). "Learning representations by back-propagating errors". Nature. 323 (6088): 533–536. Bibcode:1986Natur.323..533R. doi:10.1038/323533a0.
Polyak, Boris T.; Juditsky, Anatoli B. (1992). "Acceleration of stochastic approximation by averaging" (PDF). SIAM J. Control Optim. 30 (4): 838–855. doi:10.1137/0330046. Archived from the original (PDF) on 12 January 2016. Retrieved 20 May 2019.

hackernoon.com

S، Suryansh (۲۰۱۸-۰۳-۱۲). «Gradient Descent: All You Need to Know». Hacker Noon. بایگانی‌شده از اصلی در ۱ مه ۲۰۲۰. دریافت‌شده در ۲۰۱۸-۱۰-۲۹.

harvard.edu

ui.adsabs.harvard.edu

Rumelhart, David E.; Hinton, Geoffrey E.; Williams, Ronald J. (8 October 1986). "Learning representations by back-propagating errors". Nature. 323 (6088): 533–536. Bibcode:1986Natur.323..533R. doi:10.1038/323533a0.

jmlr.org

Duchi, John; Hazan, Elad; Singer, Yoram (2011). "Adaptive subgradient methods for online learning and stochastic optimization" (PDF). Journal of Machine Learning Research. 12: 2121–2159. Archived from the original (PDF) on 28 May 2019. Retrieved 20 May 2019.
Gupta, Maya R.; Bengio, Samy; Weston, Jason (2014). "Training highly multiclass classifiers" (PDF). JMLR. 15 (1): 1461–1492. Archived from the original (PDF) on 25 October 2018. Retrieved 21 May 2019.

lecun.com

yann.lecun.com

LeCun, Yann A., et al. "Efficient backprop." Neural networks: Tricks of the trade. Springer Berlin Heidelberg, 2012. 9-48

medium.com

Miller، Lachlan (۲۰۱۸-۰۱-۱۰). «Machine Learning week 1: Cost Function, Gradient Descent and Univariate Linear Regression». Medium. دریافت‌شده در ۲۰۱۸-۱۰-۲۹.

nih.gov

pubmed.ncbi.nlm.nih.gov

Mei, Song; Montanari, Andrea; Nguyen, Phan-Minh (2018-08-14). "A mean field view of the landscape of two-layer neural networks". Proceedings of the National Academy of Sciences. 115 (33): E7665–E7671. doi:10.1073/pnas.1806579115. ISSN 0027-8424. PMID 30054315.

pnas.org

Mei, Song; Montanari, Andrea; Nguyen, Phan-Minh (2018-08-14). "A mean field view of the landscape of two-layer neural networks". Proceedings of the National Academy of Sciences. 115 (33): E7665–E7671. doi:10.1073/pnas.1806579115. ISSN 0027-8424. PMID 30054315.

seg.org

library.seg.org

Díaz, Esteban and Guitton, Antoine. "Fast full waveform inversion with random shot decimation". SEG Technical Program Expanded Abstracts, 2011. 2804-2808^{^{[پیوند مرده]}}

stanford.edu

deeplearning.stanford.edu

"Unsupervised Feature Learning and Deep Learning Tutorial". deeplearning.stanford.edu (به انگلیسی). Archived from the original on 20 October 2018. Retrieved 2018-10-29.

toronto.edu

cs.toronto.edu

Hinton, Geoffrey. "Overview of mini-batch gradient descent" (PDF). pp. 27–29. Archived from the original (PDF) on 23 November 2016. Retrieved 27 September 2016.

ucsd.edu

seed.ucsd.edu

Perla, Joseph (2014). "Notes on AdaGrad" (PDF). Archived from the original (PDF) on 2015-03-30.

ufl.edu

meyn.ece.ufl.edu

Polyak, Boris T.; Juditsky, Anatoli B. (1992). "Acceleration of stochastic approximation by averaging" (PDF). SIAM J. Control Optim. 30 (4): 838–855. doi:10.1137/0330046. Archived from the original (PDF) on 12 January 2016. Retrieved 20 May 2019.

web.archive.org

"Unsupervised Feature Learning and Deep Learning Tutorial". deeplearning.stanford.edu (به انگلیسی). Archived from the original on 20 October 2018. Retrieved 2018-10-29.
Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning (2008). Efficient, Feature-based, Conditional Random Field Parsing بایگانی‌شده در ۱۴ اوت ۲۰۱۸ توسط Wayback Machine. Proc. Annual Meeting of the ACL.
S، Suryansh (۲۰۱۸-۰۳-۱۲). «Gradient Descent: All You Need to Know». Hacker Noon. بایگانی‌شده از اصلی در ۱ مه ۲۰۲۰. دریافت‌شده در ۲۰۱۸-۱۰-۲۹.
Polyak, Boris T.; Juditsky, Anatoli B. (1992). "Acceleration of stochastic approximation by averaging" (PDF). SIAM J. Control Optim. 30 (4): 838–855. doi:10.1137/0330046. Archived from the original (PDF) on 12 January 2016. Retrieved 20 May 2019.
Duchi, John; Hazan, Elad; Singer, Yoram (2011). "Adaptive subgradient methods for online learning and stochastic optimization" (PDF). Journal of Machine Learning Research. 12: 2121–2159. Archived from the original (PDF) on 28 May 2019. Retrieved 20 May 2019.
Perla, Joseph (2014). "Notes on AdaGrad" (PDF). Archived from the original (PDF) on 2015-03-30.
Gupta, Maya R.; Bengio, Samy; Weston, Jason (2014). "Training highly multiclass classifiers" (PDF). JMLR. 15 (1): 1461–1492. Archived from the original (PDF) on 25 October 2018. Retrieved 21 May 2019.
Hinton, Geoffrey. "Overview of mini-batch gradient descent" (PDF). pp. 27–29. Archived from the original (PDF) on 23 November 2016. Retrieved 27 September 2016.

worldcat.org

Mei, Song; Montanari, Andrea; Nguyen, Phan-Minh (2018-08-14). "A mean field view of the landscape of two-layer neural networks". Proceedings of the National Academy of Sciences. 115 (33): E7665–E7671. doi:10.1073/pnas.1806579115. ISSN 0027-8424. PMID 30054315.