diff --git a/tensorflow/contrib/layers/python/layers/layers.py b/tensorflow/contrib/layers/python/layers/layers.py
index 403b522ce45..9d9524e4e4b 100644
--- a/tensorflow/contrib/layers/python/layers/layers.py
+++ b/tensorflow/contrib/layers/python/layers/layers.py
@@ -2308,7 +2308,7 @@ def layer_norm(inputs,
           initializer=init_ops.ones_initializer(),
           collections=gamma_collections,
           trainable=trainable)
-    # Calculate the moments on the last axis (layer activations).
+    # By default, compute the moments across all the dimensions except the one with index 0.
     norm_axes = list(range(begin_norm_axis, inputs_rank))
     mean, variance = nn.moments(inputs, norm_axes, keep_dims=True)
     # Compute layer normalization using the batch_normalization function.