活性化関数(シグモイド,ソフトマックス,ReLU,恒等関数)

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

a = 1
x = np.arange(-5, 5, 0.1)
e = math.e

y = 1 / (1 + e**(-x*a))

plt.plot(x, y)
plt.show()

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

x = np.arange(-5, 5, 0.1)
a = np.exp(x)
sum = np.sum(a)
y = a / sum
plt.plot(x, y)
plt.show()

import numpy as np
import matplotlib.pylab as plt

x = np.arange(-5.0, 5.0, 0.1)
y = np.maximum(0, x)
plt.plot(x, y)
plt.show()

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

x = np.arange(-5.0, 5.0, 0.1)
print(x)
y = x > 0
plt.plot(x, y)
plt.ylim(-0.1, 1.1)
plt.show()

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

x = np.arange(-5, 5, 0.1)
y = x
plt.plot(x, y)
plt.show()