Added binary diffing examples.

1 files changed, 2 insertions, 2 deletions

diff --git a/python/alla_net.py b/python/alla_net.py
index 02c5f8d..78c0510 100644
--- a/python/alla_net.py
+++ b/python/alla_net.py
@@ -65,7 +65,7 @@ class NeuralNetwork():
         self._o_error = y - o
         self._o_delta = self._o_error * self.sigmoidPrime(o)
 
-         # How much the hidden layer weights contributed to output error?
+        # How much the hidden layer weights contributed to output error?
         self._z2_error = self._o_delta.dot(self._w2.T)
         self._z2_delta = self._z2_error * self.sigmoidPrime(self._z2)
 
@@ -215,7 +215,7 @@ class DeepLearning():
 
             inputs.append( self._vectorize_string(raw) )
 
-            outputs.append( [ 1.0 if encrypted else 0.1 ] )
+            outputs.append( [ 1.0 if encrypted else 0.0 ] )
 
         return inputs, outputs