diff --git a/examples/07_convnet_mnist.py b/examples/07_convnet_mnist.py
index c285f142..6dafbd9d 100644
--- a/examples/07_convnet_mnist.py
+++ b/examples/07_convnet_mnist.py
@@ -15,7 +15,7 @@
 import time 
 
 import tensorflow as tf
-import tf.contrib.layers as layers
+import tensorflow.contrib.layers as layers
 from tensorflow.examples.tutorials.mnist import input_data
 
 import utils
@@ -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],
@@ -177,4 +177,4 @@
         accuracy = tf.reduce_sum(tf.cast(correct_preds, tf.float32))
         total_correct_preds += sess.run(accuracy)   
     
-    print("Accuracy {0}".format(total_correct_preds/mnist.test.num_examples))
\ No newline at end of file
+    print("Accuracy {0}".format(total_correct_preds/mnist.test.num_examples))