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AI Uses Neural Networks for Poker Intuition

DeepStack, one of many recent computers to face off against human beings, defeated 11 professional poker players in heads-up no-limit hold’em, according to a study published in Science this month.

Of the 11 players, DeepStack defeated 10 of them in December 2016 by statistically significant margins after the study authors had the computer undergo deep learning training to teach the bot to develop poker intuition for any situation.

The computer looked up two copies of the same network in its neural network, namely for the first three shared cards and then again for the final two, trained on 10,000 randomly drawn poker games, reported Ars Technica.