def activates(self, inputs):
"""Calculates whether or not the neron fires with given inputs.
:param inputs: Array containing the inputs corresponding to the weights passed to the constructor
:return: 1 if the neuron fires, 0 if it failed to fire
"""
total = self.weights[0] * self.bias
for i in range(len(inputs)):
total += inputs[i] * self.weights[i + 1]
return sigmoid(total)
def activates(self, inputs):
"""Calculates whether or not the neron fires with given inputs.
:param inputs: Array containing the inputs corresponding to the weights passed to the constructor
:return: 1 if the neuron fires, 0 if it failed to fire
"""
total = self.weights[0] * self.bias
for i in range(len(inputs)):
total += inputs[i] * self.weights[i + 1]
return sigmoid(total)
def test_sigmoid(self):
print(sigmoid(-.4))
