Rede neural artificial (Galician Wikipedia)

Analysis of information sources in references of the Wikipedia article "Rede neural artificial" in Galician language version.

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37doi.org

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acm.org

portal.acm.org

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archive.org

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LeCun (1989). "Backpropagation Applied to Handwritten Zip Code Recognition". Neural Computation 1: 541–551.
Schmidhuber, Jürgen (1992). "Learning complex, extended sequences using the principle of history compression". Neural Computation 4 (2): 234–242. doi:10.1162/neco.1992.4.2.234.
Schmidhuber, Jürgen (1992). "Learning to control fast-weight memories: an alternative to recurrent nets". Neural Computation 4 (1): 131–139. doi:10.1162/neco.1992.4.1.131.
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arxiv.org

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Ramachandran, Prajit; Barret, Zoph; Quoc, V. Le (2017). "Searching for Activation Functions". arXiv:1710.05941.
Schmidhuber, Jürgen (2020). "Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)". Neural Networks 127: 58–66. PMID 32334341. arXiv:1906.04493. doi:10.1016/j.neunet.2020.04.008.
Karras,, Tero; Aila, Timo; Laine, Samuli; Lehtinen, Jaakko (2017). "Progressive Growing of GANs for Improved Quality, Stability, and Variation". Cornell University. arXiv:1710.10196.
Choromanski, Krzysztof; Likhosherstov, Valerii; Dohan, David; Song, Xingyou; Gane, Andreea; Sarlos, Tamas; Hawkins, Peter; Davis, Jared; Mohiuddin, Afroz (2020). "Rethinking Attention with Performers". arXiv:2009.14794.
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Srivastava, Rupesh Kumar; Greff, Klaus; Schmidhuber, Jürgen (2015). "Highway Networks". arXiv:1505.00387.
Ng, Andrew; Dean, Jeff (2012). "Building High-level Features Using Large Scale Unsupervised Learning". arXiv:1112.6209.
Cireşan, Dan Claudiu; Meier, Ueli; Gambardella, Luca Maria; Schmidhuber, Jürgen (2010). "Deep, Big, Simple Neural Nets for Handwritten Digit Recognition". Neural Computation 22 (12): 3207–3220. ISSN 0899-7667. arXiv:1003.0358. doi:10.1162/neco_a_00052.

books.google.com

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deeplearningbook.org

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doi.org

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Stigler, Stephen M. (1981). "Gauss and the Invention of Least Squares". Project Euclid 9 (3): 465–474. doi:10.1214/aos/1176345451.
Brush, Stephen G. (1967). "History of the Lenz-Ising Model". Reviews of Modern Physics 39 (4): 883–893. Bibcode:1967RvMP...39..883B. doi:10.1103/RevModPhys.39.883.
Amari, Shun-Ichi (1972). "Learning patterns and pattern sequences by self-organizing nets of threshold elements". IEEE Transactions (21): 1197–1206. ISSN 1557-9956. doi:10.1109/T-C.1972.223477.
Hopfield, J. J. (1982). "Neural networks and physical systems with emergent collective computational abilities". Proceedings of the National Academy of Sciences 79 (8): 2554–2558. Bibcode:1982PNAS...79.2554H. doi:10.1073/pnas.79.8.2554.
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Rosenblatt, F. (1958). "The Perceptron: A Probabilistic Model For Information Storage And Organization in the Brain". Psychological Review 65 (6): 386–408. doi:10.1037/h0042519.
Olazaran, Mikel (1996). "A Sociological Study of the Official History of the Perceptrons Controversy". Social Studies of Science 26 (3): 611–659. JSTOR 285702. doi:10.1177/030631296026003005.
Schmidhuber, Jürgen (2015). "Deep Learning in Neural Networks: An Overview". Neural Networks 61: 85–117. PMID 25462637. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003.
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Kelley, Henry J. (1960). "Gradient theory of optimal flight paths". ARS Journal 30 (10): 947–954. doi:10.2514/8.5282.
Schmidhuber, Jürgen (2015). "Deep Learning". Scholarpedia 10 (11): 85–117. doi:10.4249/scholarpedia.32832.
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Schmidhuber, Jürgen (1992). "Learning complex, extended sequences using the principle of history compression". Neural Computation 4 (2): 234–242. doi:10.1162/neco.1992.4.2.234.
Schmidhuber, Jürgen (2010). "Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990-2010)". IEEE Transactions on Autonomous Mental Development 2 (3): 230–247. doi:10.1109/TAMD.2010.2056368.
Schmidhuber, Jürgen (2020). "Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)". Neural Networks 127: 58–66. PMID 32334341. arXiv:1906.04493. doi:10.1016/j.neunet.2020.04.008.
Schmidhuber, Jürgen (1992). "Learning to control fast-weight memories: an alternative to recurrent nets". Neural Computation 4 (1): 131–139. doi:10.1162/neco.1992.4.1.131.
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Hochreiter, Sepp; Schmidhuber, Jürgen (1997). "Long Short-Term Memory". Neural Computation 9 (8): 1735–1780. ISSN 0899-7667. PMID 9377276. doi:10.1162/neco.1997.9.8.1735.
Schmidhuber, Jürgen (2015). "Deep Learning in Neural Networks: An Overview". Neural Networks 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003.
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Cireşan, Dan Claudiu; Meier, Ueli; Gambardella, Luca Maria; Schmidhuber, Jürgen (2010). "Deep, Big, Simple Neural Nets for Handwritten Digit Recognition". Neural Computation 22 (12): 3207–3220. ISSN 0899-7667. arXiv:1003.0358. doi:10.1162/neco_a_00052.
Scherer, Dominik; C. Müller, Andreas; Behnke, Sven (2018). "Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition" (PDF). 20th International Conference Artificial Neural Networks (ICANN): 92–101. doi:10.1007/978-3-642-15825-4_10.
Graves, A.; Liwicki, M.; Fernandez, S.; Bertolami, R.; Bunke, H.; Schmidhuber, Jürgen (2009). "A Novel Connectionist System for Unconstrained Handwriting Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (5): 855–868. ISSN 0162-8828. PMID 19299860. doi:10.1109/tpami.2008.137.
Ciresan, Dan; Meier, U.; Schmidhuber, J. (2012). Multi-column deep neural networks for image classification. 2012 IEEE Conference on Computer Vision and Pattern Recognition. ISBN 978-1-4673-1228-8. doi:10.1109/cvpr.2012.6248110.

doi.org

Stigler, Stephen M. (1981). "Gauss and the Invention of Least Squares". Project Euclid 9 (3): 465–474. doi:10.1214/aos/1176345451.
Robbins, H.; Monro, S. (1951). "A Stochastic Approximation Method". The Annals of Mathematical Statistics 22 (3): 400. doi:10.1214/aoms/1177729586.
Schmidhuber, Jürgen (2015). "Deep Learning". Scholarpedia 10 (11): 85–117. doi:10.4249/scholarpedia.32832.

drive.google.com

Zhang, Wei (1988). "Shift-invariant pattern recognition neural network and its optical architecture". Proceedings of Annual Conference of the Japan Society of Applied Physics.

fennetic.net

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g2.com

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google.es

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harvard.edu

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Brush, Stephen G. (1967). "History of the Lenz-Ising Model". Reviews of Modern Physics 39 (4): 883–893. Bibcode:1967RvMP...39..883B. doi:10.1103/RevModPhys.39.883.
Hopfield, J. J. (1982). "Neural networks and physical systems with emergent collective computational abilities". Proceedings of the National Academy of Sciences 79 (8): 2554–2558. Bibcode:1982PNAS...79.2554H. doi:10.1073/pnas.79.8.2554.

ui.adsabs.harvard.edu

Karras,, Tero; Aila, Timo; Laine, Samuli; Lehtinen, Jaakko (2017). "Progressive Growing of GANs for Improved Quality, Stability, and Variation". Cornell University. arXiv:1710.10196.

idsia.ch

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Hochreiter, Sepp (1991). "Untersuchungen zu dynamischen neuronalen Netzen" (PDF). Diploma thesis. Institut f. Informatik, Technische Univ. Munich. Arquivado dende o orixinal (PDF) o 2015.

jstor.org

Olazaran, Mikel (1996). "A Sociological Study of the Official History of the Perceptrons Controversy". Social Studies of Science 26 (3): 611–659. JSTOR 285702. doi:10.1177/030631296026003005.

kurzweilai.net

"How bio-inspired deep learning keeps winning competitions". kurzweilai.net. Consultado o 2023.

lecun.com

yann.lecun.com

LeCun, Yann; Bottou, Léon; Bengio, Yoshua; Haffner, Patrick (1998). "Gradient-based learning applied to document recognition" (PDF). Proceedings of the IEEE 86 (11): 2278–2324. doi:10.1109/5.726791.

mit.edu

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msu.edu

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nature.com

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nih.gov

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Hopfield, J. J. (1982). "Neural networks and physical systems with emergent collective computational abilities". Proceedings of the National Academy of Sciences 79 (8): 2554–2558. Bibcode:1982PNAS...79.2554H. doi:10.1073/pnas.79.8.2554.
Schmidhuber, Jürgen (2015). "Deep Learning in Neural Networks: An Overview". Neural Networks 61: 85–117. PMID 25462637. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003.
Schmidhuber, Jürgen (2020). "Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)". Neural Networks 127: 58–66. PMID 32334341. arXiv:1906.04493. doi:10.1016/j.neunet.2020.04.008.
Hochreiter, Sepp; Schmidhuber, Jürgen (1997). "Long Short-Term Memory". Neural Computation 9 (8): 1735–1780. ISSN 0899-7667. PMID 9377276. doi:10.1162/neco.1997.9.8.1735.
Graves, A.; Liwicki, M.; Fernandez, S.; Bertolami, R.; Bunke, H.; Schmidhuber, Jürgen (2009). "A Novel Connectionist System for Unconstrained Handwriting Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (5): 855–868. ISSN 0162-8828. PMID 19299860. doi:10.1109/tpami.2008.137.

nips.cc

papers.nips.cc

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sciencedirect.com

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uni-bonn.de

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Scherer, Dominik; C. Müller, Andreas; Behnke, Sven (2018). "Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition" (PDF). 20th International Conference Artificial Neural Networks (ICANN): 92–101. doi:10.1007/978-3-642-15825-4_10.

web.archive.org

Rosenblatt, Frank (1957). "The Perceptron—a perceiving and recognizing automaton" (PDF). Cornell Aeronautical Laboratory. Report 85-460-1. Arquivado dende o orixinal (PDF) o 07 de abril de 2023. Consultado o 25 de abril de 2023.
"Prepare, Don't Panic: Synthetic Media and Deepfakes". witness.org. Arquivado dende o orixinal o 2020. Consultado o 2020.
Hochreiter, Sepp (1991). "Untersuchungen zu dynamischen neuronalen Netzen" (PDF). Diploma thesis. Institut f. Informatik, Technische Univ. Munich. Arquivado dende o orixinal (PDF) o 2015.

werbos.com

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"Prepare, Don't Panic: Synthetic Media and Deepfakes". witness.org. Arquivado dende o orixinal o 2020. Consultado o 2020.

worldcat.org

Amari, Shun-Ichi (1972). "Learning patterns and pattern sequences by self-organizing nets of threshold elements". IEEE Transactions (21): 1197–1206. ISSN 1557-9956. doi:10.1109/T-C.1972.223477.
Ivakhnenko, A. G. (1967). Cybernetics and Forecasting Techniques. American Elsevier Publishing Company. ISBN 9780444000200. ISSN 0076-9908.
Hochreiter, Sepp; Schmidhuber, Jürgen (1997). "Long Short-Term Memory". Neural Computation 9 (8): 1735–1780. ISSN 0899-7667. PMID 9377276. doi:10.1162/neco.1997.9.8.1735.
Cireşan, Dan Claudiu; Meier, Ueli; Gambardella, Luca Maria; Schmidhuber, Jürgen (2010). "Deep, Big, Simple Neural Nets for Handwritten Digit Recognition". Neural Computation 22 (12): 3207–3220. ISSN 0899-7667. arXiv:1003.0358. doi:10.1162/neco_a_00052.
Graves, A.; Liwicki, M.; Fernandez, S.; Bertolami, R.; Bunke, H.; Schmidhuber, Jürgen (2009). "A Novel Connectionist System for Unconstrained Handwriting Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (5): 855–868. ISSN 0162-8828. PMID 19299860. doi:10.1109/tpami.2008.137.