running

brain.py

@@ -14,9 +14,14 @@ class Neural_Network(object):
         self.fitness = 0 
 
         #weights
-        if not W1 :
+        if W1 is not None:
+            self.W1=W1
+        else :
             self.W1 = np.random.randn(self.inputSize, self.hiddenSize) # weights from input to hidden layer
-        if not W2 :
+        
+        if W2 is not None:
+            self.W2=W2
+        else :
             self.W2 = np.random.randn(self.hiddenSize, self.outputSize) # weights from hidden to output layer
         # self.w1 = [[random.random() for i in range(self.hiddenSize)] for i in range(self.inputSize)]
         # self.w2 = [[random.random() for i in range(self.outputSize)] for i in range(self.hiddenSize)]