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'''2014'''
* [[Ian Goodfellow]], [[Jean Pouget-Abadie]], [[Mehdi Mirza]], [[Bing Xu]], [[David Warde-Farley]], [[Sherjil Ozair]], [[Aaron Courville]], [[Yoshua Bengio]] ('''2014'''). ''Generative Adversarial Networks''. [https://arxiv.org/abs/1406.2661v1 arXiv:1406.2661v1]
* [[Mathematician#YDauphin|Yann Dauphin]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Mathematician#CGulcehre|Caglar Gulcehre]], [[Mathematician#KCho|Kyunghyun Cho]], [[Mathematician#SGanguli|Surya Ganguli]], [[Mathematician#YBengio|Yoshua Bengio]] ('''2014'''). ''Identifying and attacking the saddle point problem in high-dimensional non-convex optimization''. [https://arxiv.org/abs/1406.2572 arXiv:1406.2572] <ref>[https://groups.google.com/d/msg/fishcooking/wOfRuzTSi_8/VgjN8MmSBQAJ high dimensional optimization] by [[Warren D. Smith]], [[Computer Chess Forums|FishCooking]], December 27, 2019</ref>
* [[Mathematician#KCho|Kyunghyun Cho]] ('''2014'''). ''[https://aaltodoc.aalto.fi/handle/123456789/12729 Foundations and Advances in Deep Learning]''. Ph.D. thesis, [https://en.wikipedia.org/wiki/Aalto_University Aalto University], supervisor [[Mathematician#JKarhunen|Juha Karhunen]]
* [[Wojciech Jaśkowski]], [[Marcin Szubert]], [[Paweł Liskowski]] ('''2014'''). ''Multi-Criteria Comparison of Coevolution and Temporal Difference Learning on Othello''. [http://www.evostar.org/2014/ EvoApplications 2014], [http://www.springer.com/computer/theoretical+computer+science/book/978-3-662-45522-7 Springer, volume 8602]
* [[Christopher Clark]], [[Amos Storkey]] ('''2014'''). ''Teaching Deep Convolutional Neural Networks to Play Go''. [http://arxiv.org/abs/1412.3409 arXiv:1412.3409] <ref>[http://computer-go.org/pipermail/computer-go/2014-December/007010.html Teaching Deep Convolutional Neural Networks to Play Go] by [[Hiroshi Yamashita]], [http://computer-go.org/pipermail/computer-go/ The Computer-go Archives], December 14, 2014</ref> <ref>[http://www.talkchess.com/forum/viewtopic.php?t=54663 Teaching Deep Convolutional Neural Networks to Play Go] by [[Michel Van den Bergh]], [[CCC]], December 16, 2014</ref>
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=71301 A question to MCTS + NN experts] by [[Maksim Korzh]], [[CCC]], July 17, 2019 » [[Monte-Carlo Tree Search]]
: [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=71301&start=3 Re: A question to MCTS + NN experts] by [[Daniel Shawul]], [[CCC]], July 17, 2019
* [https://groups.google.com/d/msg/fishcooking/wOfRuzTSi_8/VgjN8MmSBQAJ high dimensional optimization] by [[Warren D. Smith]], [[Computer Chess Forums|FishCooking]], December 27, 2019 <ref>[[Mathematician#YDauphin|Yann Dauphin]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Mathematician#CGulcehre|Caglar Gulcehre]], [[Mathematician#KCho|Kyunghyun Cho]], [[Mathematician#SGanguli|Surya Ganguli]], [[Mathematician#YBengio|Yoshua Bengio]] ('''2014'''). ''Identifying and attacking the saddle point problem in high-dimensional non-convex optimization''. [https://arxiv.org/abs/1406.2572 arXiv:1406.2572]</ref>
==2020 ...==
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=74077 How to work with batch size in neural network] by Gertjan Brouwer, [[CCC]], June 02, 2020
