def __init__(self, Inputs, Width, Height, Iterations=1, Name=""): NeuralNet.__init__(self, Inputs, Outputs=0, Layers=Width, NeuronsPerLayer=Height, Name=Name) # Remove uneeded member variables. del self.NumberOfOutputs, self.NumberOfNeuronsPerLayer, self.NumberOfLayers, self.HasBiasLayer # self.transferSynapses = dict() tmp = TransferSynapse(self) # self.Map = None # self.Width = Width # self.Height = Height # self.inputLayer = None # self.totalIterations = Iterations # self.iteration = 1
def __init__ (self, Inputs, Width, Height, Iterations=1, Name=""): NeuralNet.__init__ (self, Inputs, Outputs=0, Layers=Width, NeuronsPerLayer=Height, Name=Name) # Remove uneeded member variables. del self.NumberOfOutputs, self.NumberOfNeuronsPerLayer, self.NumberOfLayers, self.HasBiasLayer # self.transferSynapses = dict () tmp = TransferSynapse (self) # self.Map = None # self.Width = Width # self.Height= Height # self.inputLayer = None # self.totalIterations = Iterations # self.iteration = 1
def __init__(self, Inputs, Outputs, Layers=None, NeuronsPerLayer=None, Name=""): """ Pass the arguments to the parent class. """ NeuralNet.__init__(self, Inputs, Outputs, Layers, NeuronsPerLayer, Name)
def __init__ (self, Inputs, Outputs, Layers=None, NeuronsPerLayer=None, \ AddBias=False, StepActivation=None, Name=""): NeuralNet.__init__ (self, Inputs, Outputs, Layers, NeuronsPerLayer, Name) if AddBias: self.HasBiasLayer = True # Temporary layers self._TempLayers = list ()
def __init__ (self, Inputs, Outputs, Layers=None, NeuronsPerLayer=None, \ AddBias=False, StepActivation=None, Name=""): NeuralNet.__init__(self, Inputs, Outputs, Layers, NeuronsPerLayer, Name) if AddBias: self.HasBiasLayer = True # Temporary layers self._TempLayers = list()
def __init__ (self, Inputs, Outputs, Layers=None, NeuronsPerLayer=None, Name=""): """ Pass the arguments to the parent class. """ NeuralNet.__init__ (self, Inputs, Outputs, Layers, NeuronsPerLayer, Name)