diff --git a/lab1/Part1_TensorFlow.ipynb b/lab1/Part1_TensorFlow.ipynb
index e9e43b1f..1a75c8e0 100644
--- a/lab1/Part1_TensorFlow.ipynb
+++ b/lab1/Part1_TensorFlow.ipynb
@@ -185,7 +185,7 @@
         "\n",
         "assert isinstance(images, tf.Tensor), \"matrix must be a tf Tensor object\"\n",
         "assert tf.rank(images).numpy() == 4, \"matrix must be of rank 4\"\n",
-        "assert tf.shape(images).numpy().tolist() == [10, 256, 256, 3], \"matrix is incorrect shape\""
+        "assert tf.shape(images).numpy().tolist() == [10, 256, 256, 3], \"matrix is in correct shape\""
       ],
       "execution_count": null,
       "outputs": []
diff --git a/lab1/solutions/Part1_TensorFlow_Solution.ipynb b/lab1/solutions/Part1_TensorFlow_Solution.ipynb
index 08c7b368..87ebbbf2 100644
--- a/lab1/solutions/Part1_TensorFlow_Solution.ipynb
+++ b/lab1/solutions/Part1_TensorFlow_Solution.ipynb
@@ -186,7 +186,7 @@
         "\n",
         "assert isinstance(images, tf.Tensor), \"matrix must be a tf Tensor object\"\n",
         "assert tf.rank(images).numpy() == 4, \"matrix must be of rank 4\"\n",
-        "assert tf.shape(images).numpy().tolist() == [10, 256, 256, 3], \"matrix is incorrect shape\""
+        "assert tf.shape(images).numpy().tolist() == [10, 256, 256, 3], \"matrix is in correct shape\""
       ],
       "execution_count": null,
       "outputs": []