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问题所属任务编号（Task 01-05）
Task 05
运行环境（操作系统版本、Python 版本）/ 非程序问题
完整的报错信息（截图或复制均可）/ 问题详细描述
多层感知机从零开始章节 参数优化
描述你期望看到的结果
疑问：我们参数初始化的时候，torch.randn（）是符合标准正态分布~N(0,1)
那么，我们随出来的参数，同时 * 0.01,那么这个结果方差应该是 * 0.0001，参数符合分布~N(0,0.0001)?
我们前面参数都是符合正态分布N(0,0.01),如果老师还是这个意思，还想达到这个效果，是不是这里写错了，应该写成 * 0.1？
满足的0.01对应的是std，不是方差，可看一下后面的权重生成代码。而且在正态分布中，里面的两个参数是均值和标准差，不是方差。