diff --git a/14_recurrent_neural_networks.ipynb b/14_recurrent_neural_networks.ipynb
index f4d541c..8ef2261 100644
--- a/14_recurrent_neural_networks.ipynb
+++ b/14_recurrent_neural_networks.ipynb
@@ -1517,7 +1517,7 @@
    },
    "outputs": [],
    "source": [
-    "X_batch = rnd.rand(2, n_steps, n_inputs)"
+    "X_batch = np.random.rand(2, n_steps, n_inputs)"
    ]
   },
   {
@@ -1687,7 +1687,7 @@
    "source": [
     "with tf.Session() as sess:\n",
     "    init.run()\n",
-    "    print(sess.run(outputs, feed_dict={X: rnd.rand(2, n_steps, n_inputs)}))"
+    "    print(sess.run(outputs, feed_dict={X: np.random.rand(2, n_steps, n_inputs)}))"
    ]
   },
   {
@@ -2372,7 +2372,7 @@
     "# construction are also the most frequent.\n",
     "valid_size = 16     # Random set of words to evaluate similarity on.\n",
     "valid_window = 100  # Only pick dev samples in the head of the distribution.\n",
-    "valid_examples = rnd.choice(valid_window, valid_size, replace=False)\n",
+    "valid_examples = np.random.choice(valid_window, valid_size, replace=False)\n",
     "num_sampled = 64    # Number of negative examples to sample.\n",
     "\n",
     "learning_rate = 0.01"