Exemple #1
0
 def __init__ (self, Neurons, AddBias=False, Name=None):
     gobject.GObject.__init__ (self)
     ListPool.__init__ (self)
     
     # Unique id
     self.Id = Layer.__nextId ()
     
     # Name
     self.Name = Name
     
     # The total number of neurons 
     self.numberOfNeurons = Neurons
     
     # The list of neurons
     self.neurons = list ()
     self._pool = self.neurons
     
     #
     self.hasBiasLayer = False
     
     # 
     self.biasLayer = None
     
     # Total Number of Weights
     self.numberOfWeights = 0
     
     # Total Number Of Bias Weights
     self.numberOfBiasWeights = 0
Exemple #2
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 def __init__ (self, Inputs, Outputs, Layers=None, NeuronsPerLayer=None, Name=""):
     gobject.GObject.__init__ (self)
     ListPool.__init__ (self)
     
     # Name
     self.Name = Name
     
     # Are our layers symmetric?
     if Layers is not None and NeuronsPerLayer is not None:
         self.SymmetricLayers = True
     else:
         self.SymmetricLayers = False
         
     # The number of inputs
     self.NumberOfInputs = Inputs
     
     # The number of outputs (the Neurons).
     self.NumberOfOutputs= Outputs
     
     # The number of layers, excluding the Input and Ouput.
     self.NumberOfLayers = Layers
     
     # The number of neurons that each layer will have.
     self.NumberOfNeuronsPerLayer = NeuronsPerLayer
     
     # Input/Output/Hidden layers.
     # Input layer is always at index 0.
     # Output layes is always at the end of the list.
     self.Layers = list ()
     self._pool = self.Layers
     
     # Some flags
     self.NetworkCreated = False
     
     # All weights
     self.Weights = None
     
     # All inputs
     self.Inputs = None
     
     # Output values
     self.Output = list ()
     
     # Total number of weights
     self.NumberOfWeights = 0
     
     # Does this network has an extra bias layer attached
     # to each hidden layer?
     self.HasBiasLayer = False
     
     # Store times for different methods. Used for benchmarking.
     self.keepTime = dict ()