def create_output_neuron(activation_function,
bias,
initial_bias_connection_weight=0.0):
neuron = Neuron(np.array([]),
list(),
activation_function,
cache_weighted_input=True)
Connection(bias, neuron, initial_bias_connection_weight)
return neuron
def create_neuron(activation_function=None, bias=None):
"""Creates neuron with defined activation function and bias."""
# If activation function not defined, choose activation function at random.
if not activation_function:
activation_function = choice(list(_ACTIVATION_FUNCTIONS.keys()))
neuron = Neuron(array([]), list(), activation_function)
# If is biased, connect to bias with random weight.
if bias:
Connection(bias, neuron, uniform(-1, 1))
return neuron
def create_output_neuron(activation_function, bias, initial_bias_connection_weight=0.0):
neuron = Neuron(array([]), list(), activation_function)
Connection(bias, neuron, initial_bias_connection_weight)
return neuron