# Update network weights with error
def update_weights(network, row, l_rate):
  for i in range(len(network)):
    inputs = row[:-1]
    if i != 0:
      inputs = [neuron['output'] for neuron in network[i - 1]]
    for neuron in network[i]:
      for j in range(len(inputs)):
        neuron['weights'][j] -= l_rate * neuron['delta'] * inputs[j] 
      neuron['weights'][-1] -= l_rate * neuron['delta'] # bias term the input is 1