Created
May 19, 2021 10:03
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Plot the sigmoid function along with its derivative
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| def sigmoid(x): | |
| return 1 / (1 + np.exp(-x)) | |
| def derivative(x, step): | |
| return (sigmoid(x+step) - sigmoid(x)) / step | |
| x = np.linspace(-10, 10, 1000) | |
| y1 = sigmoid(x) | |
| y2 = derivative(x, 0.0000000000001) | |
| plt.plot(x, y1, label='sigmoid') | |
| plt.plot(x, y2, label='derivative') | |
| plt.legend(loc='upper left') | |
| plt.show() |
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