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RNN用于二进制验证

于 2022-02-22 发布 文件大小:16.34 kB
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%标题:二进制循环神经网络(RNN) %用途:基本的RNN,预测添加2个二进制数字 % %方程:a + b = d 比较真正的标签c => Error = ?? %8 + 16 = 25 ?? 与真标签相比较24 => Error = 1 % %a和b是输入,最多加到d。 然后两者都是 %与真实标签c进行比较。 然后出错 反向传播通过时间反向传播 %(BPTT)算法。 % %输入:a,8位二进制向量,例如 [0,0,0,0,1,0,0,0] = 8 %b,8位二进制向量,例如。 + [0,0,0,1,0,0,0,0] = + 16 %--------------------------------- %输出:d,8位二进制向量,例如 [0,0,0,1,1,0,0,0] = 25 %标签:c,8位二进制向量,例如 - [0,0,0,1,1,0,0,1] = - 24 %--------------------------------- %Error = 1

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