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Poker_Hand_Predict

UCI Poker Hand Dataset 扑克牌分类预测，实现99.96%的正确率

运行poker_with_UI,将显示pyqt制作的UI界面，提供可视化选择操作。

运行poker_without_UI,直接运行程序，选用Poker_Test列表中的值进行测试。

采用 DNN 算法、Tensorflow 深度学习框架， 对Flush, Straight flush, Royal flush情况另加处理。

具体技术原理及实现效果请看readme.pdf

运行结果如下

QT UI界面：

image

损失loss与训练步数的关系：

image

image

评估结果：

image

测试结果：

image

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