This analytic is a train deep learning network that can play checkers.
It uses the TensorFlow Python 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.
別名: @checkers(tensorflow)
カテゴリ: Data
Tags: tensorflow, deep learning, checkers, data, games
作成した: Aug 24 2020, by: admin
イカおいしかったです。: 0, 詳細: 0, 星: 0.0
結ぶ: 16, 今日の: 0, 週間: 0, 月: 0
最後の接続: Nov 30 2021, 8:16