Deep Learning, Python, Data Science, Programming, Neural Networks.
Implementation in Raw Python: import numpy as np import matplotlib.pyplot as plt # Generate input values z = np.linspace(-10, 10, 100) # Sigmoid Function sigmoid_output = 1 / (1 + np.exp(-z)) plt.plot(z, sigmoid_output) plt.title('Sigmoid Function') plt.xlabel('z') plt.ylabel('sigmoid(z)')