Abstract

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Keywords

ResidualComputer scienceVictoryArtificial intelligenceSet (abstract data type)Deep learningMachine learningAlgorithmPoliticsPolitical scienceProgramming languageLaw

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Publication Info

Year
2017
Type
article
Volume
10
Issue
1
Pages
107-110
Citations
31
Access
Closed

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Cite This

Tristan Cazenave (2017). Residual Networks for Computer Go. IEEE Transactions on Games , 10 (1) , 107-110. https://doi.org/10.1109/tciaig.2017.2681042

Identifiers

DOI
10.1109/tciaig.2017.2681042