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Layer

a guest Jun 15th, 2019 113 Never
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  1. import numpy as np
  2. class Layer:
  3.     def __init__(self):
  4.         self.input = np.matrix([]).astype(np.float)
  5.  
  6.         self.output = np.matrix([]).astype(np.float)
  7.  
  8. class affineLayer(Layer):
  9.     def __init__(self, neuronsNumber, inputsPerNeuron, isBias, functionName):
  10.         super(affineLayer,self).__init__()
  11.  
  12.         self.weights = np.asmatrix(np.random.random((neuronsNumber, inputsPerNeuron))).astype(np.float)
  13.             # (2 * np.asmatrix(np.random.random((neuronsNumber, inputsPerNeuron))).astype(np.float) - 1) / 16
  14.  
  15.         self.weightsChanges = np.asmatrix(np.zeros((neuronsNumber, inputsPerNeuron))).astype(np.float)
  16.  
  17.         self.isBias = isBias
  18.         if(self.isBias):
  19.             self.bias = np.asmatrix(np.random.random((neuronsNumber, 1))).astype(np.float)
  20.                 # (2 * np.asmatrix(np.random.random((neuronsNumber, 1))).astype(np.float) - 1) / 16
  21.  
  22.             self.biasChanges = np.asmatrix(np.zeros((neuronsNumber, 1))).astype(np.float)
  23.  
  24.         self.z = np.matrix([]).astype(np.float)
  25.  
  26.         self.error = np.matrix([]).astype(np.float)
  27.         self.activator = functionName
  28.  
  29. class rbfLayer(Layer):
  30.     def __init__(self,centroids,widths):
  31.         super(rbfLayer, self).__init__()
  32.         self.centroids = centroids
  33.         self.widths = widths
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