def createOutputLayer(self, activation, totalDiffClass):
newLayer = Layer(self.bias)
newLayer.setType(activation)
if (activation == 4):
for i in range(totalDiffClass):
newLayer.createNeuron()
else :
newLayer.createNeuron()
return newLayer
def loadModel(self, filename):
file = open(filename, "r")
json_file = file.read()
layers = json.loads(json_file)
# input layer
for layer in layers:
newLayer = Layer(self.bias)
newLayer.setType(layer['type'])
for weight in layer['neurons']:
newLayer.createNeuron()
newNeuron = newLayer.getNeuron(len(newLayer.neuron_array)-1)
newNeuron.setWeight(weight)
self.layerArray.append(newLayer)
file.close()
return self
def setLayer(self, layers): newLayer = Layer(self.bias) newLayer.setType(0) self.layerArray = layers self.layerArray.insert(0,newLayer)
def createHiddenLayer(self, nNeuron, activation):
newLayer = Layer(self.bias)
newLayer.setType(activation)
for i in range (nNeuron):
newLayer.createNeuron()
return newLayer
