class NeuronLayer (Layer):
"""
"""
def __init__ (self, Neurons, AddBias=False, Name=None):
Layer.__init__ (self, Neurons, AddBias, Name)
# Has a bias layer?
if AddBias:
self.hasBiasLayer = True
else:
self.hasBiasLayer = False
# Bias layer
if self.hasBiasLayer:
self.biasLayer = BiasLayer (self.numberOfNeurons)
else:
self.biasLayer = None
"""
Other methods
"""
def createLayer (self):
if len (self) == 0:
# Create the neurons
for i in range (self.numberOfNeurons):
self.neurons.append ( Neuron (
Id = i,
LayerId = self.Id,
)
)
# Create the bias layer
if self.hasBiasLayer:
self.biasLayer.connect ("bias-layer-connected", self.biasLayerConnected)
self.biasLayer.connectTo (self)
self.emit ("layer-created")
def putBiasWeights (self, Weights):
if self.hasBiasLayer:
idx = 0
for neuron in self.biasLayer:
all_synapses = neuron.getSynapses ()
for layer_id in all_synapses:
synapses = all_synapses [layer_id]
for synapse_id in all_synapses [layer_id]:
target_synapse = synapses [synapse_id]
target_synapse.putWeight (Weights[idx])
idx +=1
else:
return
def __init__ (self, Neurons, AddBias=False, Name=None):
Layer.__init__ (self, Neurons, AddBias, Name)
# Has a bias layer?
if AddBias:
self.hasBiasLayer = True
else:
self.hasBiasLayer = False
# Bias layer
if self.hasBiasLayer:
self.biasLayer = BiasLayer (self.numberOfNeurons)
else:
self.biasLayer = None
