text: import numpy as np
  
  def init_network():
      network = {}
      network['W1'] = np.array([[0.1, 0.3, 0.5], [0.2, 0.4, 0.6]])
      network['b1'] = np.array([0.1, 0.2, 0.3])
      network['W2'] = np.array([[0.1, 0.4], [0.2, 0.5], [0.3, 0.6]])
      network['b2'] = np.array([0.1, 0.2])
      network['W3'] = np.array([[0.1, 0.3], [0.2, 0.4]])
      network['b3'] = np.array([0.1, 0.2])
  
      return network
  
  def sigmoid(x):
      return 1/(1+np.exp(-x))
  
  def identity_function(x):
      return x
  
  def forward(network, x):
      W1, W2, W3 = network['W1'], network['W2'], network['W3']
      b1, b2, b3 = network['b1'], network['b2'], network['b3']
  
      a1 = np.dot(x, W1) + b1
      z1 = sigmoid(a1)
      a2 = np.dot(z1, W2) + b2
      z2 = sigmoid(a2)
      a3 = np.dot(z2, W3) + b3
      y = identity_function(a3)
  
      return y
  
  network = init_network()
  x = np.array([1.0, 0.5])
  y = forward(network, x)
  print(y)
  
  