diff --git a/capsLayer.py b/capsLayer.py
index 3599431..b649b3e 100644
--- a/capsLayer.py
+++ b/capsLayer.py
@@ -81,7 +81,7 @@ def capsule(input, b_IJ, idx_j):
     Notes:
         u_i represents the vector output of capsule i in the layer l, and
         v_j the vector output of capsule j in the layer l+1.
-     '''
+    '''
 
     with tf.variable_scope('routing'):
         w_initializer = np.random.normal(size=[1, 1152, 8, 16], scale=0.01)
diff --git a/capsNet.py b/capsNet.py
index 1cfae25..82eb4be 100644
--- a/capsNet.py
+++ b/capsNet.py
@@ -35,7 +35,7 @@ def build_arch(self):
             assert conv1.get_shape() == [cfg.batch_size, 20, 20, 256]
 
         # TODO: Rewrite the 'CapsConv' class as a function, the capsLay
-        # function should be encapsulated into tow function, one like conv2d
+        # function should be encapsulated into two functions, one like conv2d
         # and another is fully_connected in Tensorflow.
         # Primary Capsules, [batch_size, 1152, 8, 1]
         with tf.variable_scope('PrimaryCaps_layer'):