diff --git a/examples/07_convnet_mnist.py b/examples/07_convnet_mnist.py
index c285f142..ad20f00e 100644
--- a/examples/07_convnet_mnist.py
+++ b/examples/07_convnet_mnist.py
@@ -61,7 +61,7 @@
     conv1 = tf.nn.relu(conv + biases, name=scope.name)
 
     # output is of dimension BATCH_SIZE x 28 x 28 x 32
-    conv1 = layers.conv2d(images, 32, 5, 1, activation_fn=tf.nn.relu, padding='SAME')
+    # conv1 = layers.conv2d(images, 32, 5, 1, activation_fn=tf.nn.relu, padding='SAME')
 
 with tf.variable_scope('pool1') as scope:
     pool1 = tf.nn.max_pool(conv1, ksize=[1, 2, 2, 1], strides=[1, 2, 2, 1],