diff --git a/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py b/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py
index 3485e7afbf1..efe35ca096f 100644
--- a/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py
+++ b/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py
@@ -103,7 +103,7 @@ def train():
   with tf.name_scope('dropout'):
     keep_prob = tf.placeholder(tf.float32)
     tf.summary.scalar('dropout_keep_probability', keep_prob)
-    dropped = tf.nn.dropout(hidden1, keep_prob)
+    dropped = tf.nn.dropout(hidden1, rate=(1 - keep_prob))
 
   # Do not apply softmax activation yet, see below.
   y = nn_layer(dropped, 500, 10, 'layer2', act=tf.identity)