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你好,看了你关于最大熵模型应用于MNIST数据集上的python代码,有一些不懂的地方想要请教一下。 就是应该如何理解特征函数这个东西。代码中关于82页最下方的期望,x是用的(0_x1,y)这样的特征,但是在计算83页最上方的期望的时候,x又变成了一整个输入向量(0_x1,1_x2,.....).请问这个是为什么呢?
不甚感谢
The text was updated successfully, but these errors were encountered:
实在不好意思,最近在写论文,没时间看了,等论文搞定了再回复吧
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hhha... 也看到这 同问!
btw 大神我这个summer有事没事就看你的算法实现 实在是我无缘的千里之外的导师~
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你好,看了你关于最大熵模型应用于MNIST数据集上的python代码,有一些不懂的地方想要请教一下。
就是应该如何理解特征函数这个东西。代码中关于82页最下方的期望,x是用的(0_x1,y)这样的特征,但是在计算83页最上方的期望的时候,x又变成了一整个输入向量(0_x1,1_x2,.....).请问这个是为什么呢?
不甚感谢
The text was updated successfully, but these errors were encountered: