numpy随机数
===
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
sizes = [3,4]
print [np.random.randn(y, 1) for y in sizes[:]]
# np.random.randn函数生成均值为0， 标准差为1的高斯分布