吴裕雄--天生自然神经网络与深度学习实战Python+Keras+TensorFlow：概率论的一些重要概念

import matplotlib.pyplot as plt
import numpy as np
import matplotlib.mlab as mlab
import math

mu = 0
variance = 1
sigma = math.sqrt(variance)
x = np.linspace(mu - 3*sigma, mu + 3*sigma, 100)
plt.plot(x, mlab.normpdf(x, mu, sigma))
plt.show()

import scipy, scipy.stats
x = scipy.linspace(0,10,11)
pmf = scipy.stats.binom.pmf(x,10,0.5)
import pylab
pylab.plot(x,pmf)