deep-go 基于深度学习的围棋AI演示程序(基于ConvNetJS库)

上传者: winx_coder | 上传时间: 2023-04-16 19:02:42 | 文件大小: 2.23MB | 文件类型: 7Z
基于深度学习的围棋AI演示程序,经过80,000盘专业棋谱数据集训练,含有约50MB经过训练的神经网络数据。 压缩包中还包含了相关的论文Training Deep Convolutional Neural Networks to Play Go。 操作说明:使用浏览器打开Play Go Against a DCNN.html,等待神经网络加载完成,即可运行。勾选Show Analysis,以便可视化地展示神经网络对下一步落子的预测。 语言:JavaScript(基于ConvNetJS库),可离线运行。 转载自https://chrisc36.github.io/deep-go/ 转载日期20170125

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