import numpy as np
import matplotlib.pylab as plt
def sigmoid_function(x):
return 1 / (1 + np.exp(-x))
x = np.arange(-5.0, 5.0, 0.1) # x의 범위는 -5.0~ 4.9(5.0) 까지 0.1 간격으로
y = sigmoid_function(x)
plt.plot(x, y)
plt.ylim(-0.1, 1.1)
plt.show()
다음검색
import numpy as np
import matplotlib.pylab as plt
def sigmoid_function(x):
return 1 / (1 + np.exp(-x))
x = np.arange(-5.0, 5.0, 0.1) # x의 범위는 -5.0~ 4.9(5.0) 까지 0.1 간격으로
y = sigmoid_function(x)
plt.plot(x, y)
plt.ylim(-0.1, 1.1)
plt.show()