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python-machine-learning-algorithm's Issues

第6章BP神经网络w的初始化方式不太理解?

你好!看到您写的关于BP神经网络的代码,针对w的初始化,搜索了下你使用的是Xavier的公式(http://proceedings.mlr.press/v9/glorot10a/glorot10a.pdf),即w在(-sqre(6/(n+n_hidden)), sqre(6/(n+n_hidden))), 这没有疑问,在具体实现中你的代码如下,先取0到1之间均匀分布随机数,后边应该乘以sqrt(6/(n+n_hidden)),但如下代码为什么会多出来一段,并且数字也不太一致,请教下是什么原因?是有别的初始化公式吗?
w0 = w0 * (8.0 * sqrt(6) / sqrt(n + n_hidden)) -
np.mat(np.ones((n, n_hidden))) *
(4.0 * sqrt(6) / sqrt(n + n_hidden))

上来点赞

逛书店的时候找到了这本书
包含了很多最新的算法
目前市场上最好的教程
特地上来点赞

第十章kmeans的代码

            if subCenter[i, 0] <> minIndex:  # 需要改变
                change = True
                subCenter[i, ] = np.mat([minIndex, minDist])

改成

            if subCenter[i, 0] <> minIndex:  # 需要改变
                change = True
            subCenter[i, ] = np.mat([minIndex, minDist])

没有数据

书到手后,发现没有下载数据的接口。有代码没数据。。。尴尬

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