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Neural Networks

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'''2004'''
* [http://dblp.uni-trier.de/pers/hd/p/Patist:Jan_Peter Jan Peter Patist], [[Marco Wiering]] ('''2004'''). ''Learning to Play Draughts using Temporal Difference Learning with Neural Networks and Databases''. [http://students.uu.nl/en/hum/cognitive-artificial-intelligence Cognitive Artificial Intelligence], [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University], Benelearn’04
* [[Henk Mannen]], [[Marco Wiering]] ('''2004'''). ''[https://www.semanticscholar.org/paper/Learning-to-Play-Chess-using-TD(lambda)-learning-Mannen-Wiering/00a6f81c8ebe8408c147841f26ed27eb13fb07f3 Learning to play chess using TD(λ)-learning with database games]''. [http://students.uu.nl/en/hum/cognitive-artificial-intelligence Cognitive Artificial Intelligence], [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University], Benelearn’04, [https://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/learning-chess.pdf pdf]
* [[Mathieu Autonès]], [[Aryel Beck]], [[Phillippe Camacho]], [[Nicolas Lassabe]], [[Hervé Luga]], [[François Scharffe]] ('''2004'''). ''[http://link.springer.com/chapter/10.1007/978-3-540-24650-3_1 Evaluation of Chess Position by Modular Neural network Generated by Genetic Algorithm]''. [http://www.informatik.uni-trier.de/~ley/db/conf/eurogp/eurogp2004.html#AutonesBCLLS04 EuroGP 2004] <ref>[https://www.stmintz.com/ccc/index.php?id=358770 Presentation for a neural net learning chess program] by [[Dann Corbit]], [[CCC]], April 06, 2004</ref>
* [[Daniel Walker]], [[Robert Levinson]] ('''2004'''). ''The MORPH Project in 2004''. [[ICGA Journal#27_4|ICGA Journal, Vol. 27, No. 4]]
* [[Matthew Lai]] ('''2015'''). ''Giraffe: Using Deep Reinforcement Learning to Play Chess''. M.Sc. thesis, [https://en.wikipedia.org/wiki/Imperial_College_London Imperial College London], [http://arxiv.org/abs/1509.01549v1 arXiv:1509.01549v1] » [[Giraffe]]
* [[Nikolai Yakovenko]], [[Liangliang Cao]], [[Colin Raffel]], [[James Fan]] ('''2015'''). ''Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games''. [https://arxiv.org/abs/1509.06731 arXiv:1509.06731]
* [https://scholar.google.ca/citations?user=yVtSOt8AAAAJ&hl=en Emmanuel Bengio], [https://scholar.google.ca/citations?user=9H77FYYAAAAJ&hl=en Pierre-Luc Bacon], [[Joelle Pineau]], [[Doina Precup]] ('''2015'''). ''Conditional Computation in Neural Networks for faster models''. [https://arxiv.org/abs/1511.06297 arXiv:1511.06297]
* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2015'''). ''Online Batch Selection for Faster Training of Neural Networks''. [https://arxiv.org/abs/1511.06343 arXiv:1511.06343]
* [[Yuandong Tian]], [[Yan Zhu]] ('''2015'''). ''Better Computer Go Player with Neural Network and Long-term Prediction''. [http://arxiv.org/abs/1511.06410 arXiv:1511.06410] <ref>[http://www.technologyreview.com/view/544181/how-facebooks-ai-researchers-built-a-game-changing-go-engine/?utm_campaign=socialsync&utm_medium=social-post&utm_source=facebook How Facebook’s AI Researchers Built a Game-Changing Go Engine | MIT Technology Review], December 04, 2015</ref> <ref>[http://www.talkchess.com/forum/viewtopic.php?t=58514 Combining Neural Networks and Search techniques (GO)] by Michael Babigian, [[CCC]], December 08, 2015</ref> » [[Go]]
* [[Guy Haworth]] ('''2019'''). ''Chess endgame news: an endgame challenge for neural nets''. [[ICGA Journal#41_3|ICGA Journal, Vol. 41, No. 3]] » [[Endgame]]
==2020 ...==
* [[Reid McIlroy-Young]], [[Siddhartha Sen]], [[Jon Kleinberg]], [[Ashton Anderson]] ('''2020'''). ''Aligning Superhuman AI with Human Behavior: Chess as a Model System''. [[ACM#SIGKDD|ACM SIGKDD 2020]], [https://arxiv.org/abs/2006.01855 arXiv:2006.01855] » [[Maia Chess]]
* [[Reid McIlroy-Young]], [[Russell Wang]], [[Siddhartha Sen]], [[Jon Kleinberg]], [[Ashton Anderson]] ('''2020'''). ''Learning Personalized Models of Human Behavior in Chess''. [https://arxiv.org/abs/2008.10086 arXiv:2008.10086]
* [[Oisín Carroll]], [[Joeran Beel]] ('''2020'''). ''Finite Group Equivariant Neural Networks for Games''. [https://arxiv.org/abs/2009.05027 arXiv:2009.05027]
* [[Reid McIlroy-Young]], [[Siddhartha Sen]], [[Jon Kleinberg]], [[Ashton Anderson]] ('''2020''')https://scholar. ''Aligning Superhuman AI with Human Behavior: Chess as a Model System''google. In Proceedings of the 26th [[ACM#SIGKDD|ACM SIGKDD 2020]com/citations?user=HT85tXsAAAAJ&hl=en Mohammad Pezeshki], [https://arxivscholar.google.orgcom/abs/2006.01855 arXiv:2006.01855] » [[Maia Chess]]* [[Reid McIlroycitations?user=jKqh8jAAAAAJ&hl=en Sékou-Young]Oumar Kaba], [[Russell WangMathematician#YBengio|Yoshua Bengio]], [[Siddhartha SenMathematician#ACourville|Aaron Courville]], [[Jon KleinbergDoina Precup]], [[Ashton Anderson]https://scholar.google.com/citations?user=ifu_7_0AAAAJ&hl=en Guillaume Lajoie] ('''2020'''). ''Gradient Starvation: A Learning Personalized Models of Human Behavior Proclivity in ChessNeural Networks''. [https://arxiv.org/abs/20082011.10086 09468 arXiv:20082011.1008609468]
=Blog & Forum Posts=
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=76334 Keras/Tensforflow for very sparse inputs] by Jacek Dermont, [[CCC]], January 16, 2021
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=76664 Are neural nets (the weights file) copyrightable?] by [[Adam Treat]], [[CCC]], February 21, 2021
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=76885 A worked example of backpropagation using Javascript] by [[Colin Jenkins]], [[CCC]], March 16, 2021 » [[Neural Networks#Backpropagation|Backpropagation]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=77061 yet another NN library] by lucasart, [[CCC]], April 11, 2021 » [[#lucasart|lucasart/nn]]
=External Links=
* [https://en.wikipedia.org/wiki/Rprop Rprop from Wikipedia]
* [http://people.idsia.ch/~juergen/who-invented-backpropagation.html Who Invented Backpropagation?] by [[Jürgen Schmidhuber]] (2014, 2015)
* [https://alexander-schiendorfer.github.io/2020/02/24/a-worked-example-of-backprop.html A worked example of backpropagation] by [https://alexander-schiendorfer.github.io/about.html Alexander Schiendorfer], February 24, 2020 » [[Neural Networks#Backpropagation|Backpropagation]] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=7&t=76885 A worked example of backpropagation using Javascript] by [[Colin Jenkins]], [[CCC]], March 16, 2021</ref>
==Gradient==
* [https://en.wikipedia.org/wiki/Gradient Gradient from Wikipedia]
* [https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software Comparison of deep learning software from Wikipedia]
* [https://github.com/connormcmonigle/reference-neural-network GitHub - connormcmonigle/reference-neural-network] by [[Connor McMonigle]]
* <span id="lucasart"></span>[https://github.com/lucasart/nn GitHub - lucasart/nn: neural network experiment] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=7&t=77061 yet another NN library] by lucasart, [[CCC]], April 11, 2021</ref>
==Libraries==
* [https://en.wikipedia.org/wiki/Eigen_%28C%2B%2B_library%29 Eigen (C++ library) from Wikipedia]
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