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データ

分析データを処理します。




3 結果.

Connect 4
Connect 4
This analytic is a train deep learning network that can play the game Connect 4. It uses the TensorFlow Python library and a dense neural network. The network has 84 inputs node representing the board squares, 168 intermediate nodes, and 7 output nodes representing the best place to move. This network was trained by having the network play itself and playing other strategies.
別名: @connect4
カテゴリ: Data
Tags: games, data, deep learning, tensorflow
作成した: Apr 14 2021, by: admin
イカおいしかったです。: 1, 詳細: 0, 星: 5.0
結ぶ: 23, 今日の: 0, 週間: 0, 月: 0
最後の接続: Dec 1 2021, 20:47
Checkers (Tensorflow)
Checkers (Tensorflow)
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
Checkers (Bot Libre)
Checkers (Bot Libre)
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.
別名: @checkers(botlibre)
カテゴリ: Data
Tags: deep learning, data, checkers, games, botlibre
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: 6, 今日の: 0, 週間: 0, 月: 0
最後の接続: Mar 31 2023, 14:04