update weights

Author: tinayz

hidden_layer.py

@@ -29,14 +29,12 @@ def calcOutputs(self):
 #
 # set Weight Updated
 #
-# def setWeightsUpdated(self , updatedWeights):
-#	#TODO: testing...
-#	x = len(self.getWeights())
-#	updatedWeightsTemp = updatedWeights[:x]
-#	# if updatedWeights is numpy delete is false
-#	del updatedWeights[:x]
-#	for n in self.neurons:
-#	n.updatedWeights(updatedWeightsTemp)
+def setWeightsUpdated(self , updatedWeights):
+#TODO: testing...
+x = len(self.neurons[0].getNumOfWeights())
+for i in range(0 , len(self.neurons)):
+updatedWeightsTemp = updatedWeights[i*x:(i+1)*x]
+self.neurons[i].updatedWeights(updatedWeightsTemp)
 #
 #
 #

input_layer.py

@@ -45,15 +45,13 @@ def getOutput(self):
 #
 # set weight updated
 #
-# def setWeightsUpdated(self , updatedWeights):
-#	#TODO: testing...
-#	x = len(self.getWeights())
-#	updatedWeightsTemp = updatedWeights[:x]
-#	# if updatedWeights is numpy delete is false
-#	updatedWeights = np.array([:x])
-#	for n in self.neurons:
-#	n.updatedWeights(updatedWeightsTemp)
-#
+def setWeightsUpdated(self , updatedWeights):
+#TODO: testing...
+x = len(self.neurons[0].getNumOfWeights())
+for i in range(0 , len(self.neurons)):
+updatedWeightsTemp = updatedWeights[i*x:(i+1)*x]
+self.neurons[i].updatedWeights(updatedWeightsTemp)
+
 #
 #
 

neuron.py

@@ -28,7 +28,6 @@ def calc_output(self):
 return self.output
 
 def updateWeights(self, updatedWeights):
-#TODO: delete one elements 
 self.weights = np.array([])
 np.copyto(self.weights , updatedWeights)
 print("weightsupdated" , self.weights)

output_layer.py

@@ -27,14 +27,12 @@ def calcOutputs(self):
 #
 # set Weight updated
 #
-# def setWeightsUpdated(self , updatedWeights):
-#	#TODO: testing...
-#	x = len(self.getWeights())
-#	updatedWeightsTemp = updatedWeights[:x]
-#	# if updatedWeights is numpy delete is false
-#	del updatedWeights[:x]
-#	for n in self.neurons:
-#	n.updatedWeights(updatedWeightsTemp)
+def setWeightsUpdated(self , updatedWeights):
+#TODO: testing...
+x = len(self.neurons[0].getNumOfWeights())
+for i in range(0 , len(self.neurons)):
+updatedWeightsTemp = updatedWeights[i*x:(i+1)*x]
+self.neurons[i].updatedWeights(updatedWeightsTemp)
 #
 #
 #