1、前言

      写毕业论文时候画了激活函数的函数图，也是参考别人的代码做的，我将格式统一了一些，现在分享出来。

2、代码

      2.1 sigmoid和tanh

import math
import matplotlib.pyplot as plt
import numpy as np
import matplotlib as mpl
mpl.rcParams['axes.unicode_minus'] = Falsedef sigmoid(x):result = 1/(1+math.e**(-x))return resultfig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(121)
x = np.linspace(-10,10)
y = sigmoid(x)ax.spines['top'].set_color('none')  
ax.spines['right'].set_color('none')  ax.xaxis.set_ticks_position('bottom')  
ax.spines['bottom'].set_position(('data',0))  
ax.set_xticks([-10,-5,0,5,10])  
ax.yaxis.set_ticks_position('left')  
ax.spines['left'].set_position(('data',0))  
ax.set_yticks([-1,-0.5,0.5,1])  plt.plot(x,y,label = "Sigmoid",linestyle='-',color='blue')
plt.legend()def tanh(x):#result = np.exp(x)-np.exp(-x)/np.exp(x)+np.exp(-x)result = (math.e**(x) - math.e**(-x)) / (math.e**(x) + math.e**(-x))return resultax = fig.add_subplot(122)
x = np.linspace(-10,10)
y = tanh(x)ax.spines['top'].set_color('none')  
ax.spines['right'].set_color('none')  ax.xaxis.set_ticks_position('bottom')  
ax.spines['bottom'].set_position(('data',0)) ax.set_xticks([-10,-5,0,5,10])  
ax.yaxis.set_ticks_position('left')  
ax.spines['left'].set_position(('data',0))  
ax.set_yticks([-1,-0.5,0.5,1])  plt.plot(x,y,label = "Tanh",linestyle='-',color='blue')
plt.legend()
plt.savefig('sigmoid and tanh.png',dpi=200)

      2.2 relu和ELU

import math
import matplotlib.pyplot as plt
import numpy as np
import matplotlib as mpl
mpl.rcParams['axes.unicode_minus'] = Falsedef relu(x):result=np.maximum(0,x)return resultfig = plt.figure(figsize=(10,4))
ax = fig.add_subplot(121)
x = np.linspace(-10,10)
y = relu(x)ax.spines['top'].set_color('none')  
ax.spines['right'].set_color('none')  ax.xaxis.set_ticks_position('bottom')  
ax.spines['bottom'].set_position(('data',0))  
ax.set_xticks([-10,-5,0,5,10])  
ax.yaxis.set_ticks_position('left')  
ax.spines['left'].set_position(('data',0))  
ax.set_yticks([5,10])  plt.plot(x,y,label = "Relu",linestyle='-',color='blue')
plt.legend()def elu(x,alpha=1):a = x[x>0]b = alpha*(math.e**(x[x<0])-1)result=np.concatenate((b,a),axis=0)return resultax = fig.add_subplot(122)
x = np.linspace(-10,10)
y = elu(x)ax.spines['top'].set_color('none')  
ax.spines['right'].set_color('none')  ax.xaxis.set_ticks_position('bottom')  
ax.spines['bottom'].set_position(('data',0))  
ax.set_xticks([-10,-5,0,5,10])  
ax.yaxis.set_ticks_position('left')  
ax.spines['left'].set_position(('data',0))  
ax.set_yticks([5,10])  plt.plot(x,y,label = "ELU alpha=1",linestyle='-',color='blue')
plt.legend()
plt.savefig('Relu an ELU.png',dpi=200)

3、结果：