def neuron_output(weights, inputs):
return sigmoid(dot(weights, inputs))
def perceptrons_outputs(weights, bias, x):
"""returns 1 if perceptron 'fires', 0 if not"""
calculation = dot(weights, x) + bias
return step_function(calculation)
