init commit

python/xor.py

@@ -0,0 +1,31 @@
+import backprop
+
+patterns=[
+   [[0,0], [0]],
+   [[0,1], [1]],
+   [[1,0], [1]],
+   [[1,1], [0]],
+   ]
+
+print 'Init Network ....'
+nn=backprop.NN(2,2,1)
+print 'Done ....'
+cpt=0
+
+while 1:
+  cpt=cpt+1;
+  error=nn.trainAll(patterns)
+  if error<0.01: break
+  if cpt>10: break
+#  if nn.epochs%100==0:
+  print '%d: 100 step error=%1.6f'%(nn.epochs,error)
+
+
+print '%d: Total Error = %1.6f'%(nn.epochs,error)
+
+
+for input,target in patterns:
+  error,output=nn.testOne(input,target)
+  print '%1.6f'%error,input,target,output
+
+