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imported>Pythagoras0
(section 'articles' updated)
imported>Pythagoras0
(section 'memo' added)
11번째 줄: 11번째 줄:
 
* http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html
 
* http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html
 
* Silver, David, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, et al. “Mastering the Game of Go with Deep Neural Networks and Tree Search.” Nature 529, no. 7587 (January 28, 2016): 484–89. doi:10.1038/nature16961.
 
* Silver, David, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, et al. “Mastering the Game of Go with Deep Neural Networks and Tree Search.” Nature 529, no. 7587 (January 28, 2016): 484–89. doi:10.1038/nature16961.
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== memo ==
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* Kristinn R. Thórisson, Jordi Bieger, Thröstur Thorarensen, Jóna S. Sigurðardóttir, Bas R. Steunebrink, Why Artificial Intelligence Needs a Task Theory --- And What It Might Look Like, arXiv:1604.04660 [cs.AI], April 15 2016, http://arxiv.org/abs/1604.04660

2016년 4월 19일 (화) 00:29 판

introduction

  • Deep learning algorithms have been shown to perform extremely well on many classical machine learning problems.


articles

memo

  • Kristinn R. Thórisson, Jordi Bieger, Thröstur Thorarensen, Jóna S. Sigurðardóttir, Bas R. Steunebrink, Why Artificial Intelligence Needs a Task Theory --- And What It Might Look Like, arXiv:1604.04660 [cs.AI], April 15 2016, http://arxiv.org/abs/1604.04660