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