正規化線形関数 (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "正規化線形関数" in Japanese language version.

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5arxiv.org

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3doi.org

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1lecun.com

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1jmlr.org

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1harvard.edu

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1nih.gov

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1toronto.edu

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1u-szeged.hu

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1stanford.edu

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1nips.cc

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1intel.com

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1itmedia.co.jp

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1researchgate.net

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arxiv.org

Ramachandran, Prajit; Barret, Zoph; Quoc, V. Le (16 October 2017). “Searching for Activation Functions”. arXiv:1710.05941 [cs.NE].
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2015). “Delving Deep into Rectifiers: Surpassing Human-Level Performance on Image Net Classification”. arXiv:1502.01852 [cs.CV].
Clevert, Djork-Arné; Unterthiner, Thomas; Hochreiter, Sepp (2015). “Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)”. arXiv:1511.07289 [cs.LG].
Ramachandran, Prajit; Zoph, Barret; Le, Quoc V. (2017-10-16) (英語). Searching for Activation Functions. https://arxiv.org/abs/1710.05941v2.
Ma, Ningning; Zhang, Xiangyu; Sun, Jian (2020-07-24). “Funnel Activation for Visual Recognition”. arXiv:2007.11824 [cs]. https://arxiv.org/abs/2007.11824.

doi.org

Hahnloser, R.; Sarpeshkar, R.; Mahowald, M. A.; Douglas, R. J.; Seung, H. S. (2000). “Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit”. Nature 405: 947–951. doi:10.1038/35016072.
LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). “Deep learning”. Nature 521 (7553): 436–444. Bibcode: 2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442.
Behnke, Sven (2003). Hierarchical Neural Networks for Image Interpretation. Lecture Notes in Computer Science. 2766. Springer. doi:10.1007/b11963

harvard.edu

ui.adsabs.harvard.edu

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). “Deep learning”. Nature 521 (7553): 436–444. Bibcode: 2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442.

intel.com

software.intel.com

“Smooth Rectifier Linear Unit (SmoothReLU) Forward Layer” (英語). Developer Guide for Intel® Data Analytics Acceleration Library (2017年). 2018年12月4日閲覧。

itmedia.co.jp

atmarkit.itmedia.co.jp

“［活性化関数］シグモイド関数（Sigmoid function）とは？”. ＠IT. 2021年11月28日閲覧。

jmlr.org

Xavier Glorot; Antoine Bordes; Yoshua Bengio (2011). Deep sparse rectifier neural networks (PDF). AISTATS. Rectifier and softplus activation functions. The second one is a smooth version of the first.

lecun.com

yann.lecun.com

Yann LeCun, Leon Bottou, Genevieve B. Orr and Klaus-Robert Müller (1998). “Efficient BackProp” (PDF). In G. Orr and K. Müller (ed.). Neural Networks: Tricks of the Trade. Springer.{{cite encyclopedia}}: CS1メンテナンス: authors引数 (カテゴリ)

nih.gov

pubmed.ncbi.nlm.nih.gov

LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). “Deep learning”. Nature 521 (7553): 436–444. Bibcode: 2015Natur.521..436L. doi:10.1038/nature14539. PMID 26017442.