This analytic is a train deep learning network that can play checkers.
It uses the Bot Libre neural network Java library and a dense neural network.
The network has 128 inputs node representing the checkers board squares, 256 intermediate nodes, and 32 output nodes representing the best piece to move.
This network was training by having the network play itself and playing other strategies.
Alias: @checkers(botlibre)
Categories: Data
Tags: games, botlibre, checkers, deep learning, data
Created: Nov 11 2020, by: admin
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Last Connect: Nov 11 2020, 13:37
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