diff --git a/tutorials/01.train-models.ipynb b/tutorials/01.train-models.ipynb
index 625ac205..c1cc4f4b 100644
--- a/tutorials/01.train-models.ipynb
+++ b/tutorials/01.train-models.ipynb
@@ -64,7 +64,7 @@
       },
       "outputs": [],
       "source": [
-        "%matplotlib inline\n",
+        "%matplotlib notebook\n",
         "import numpy as np\n",
         "import matplotlib\n",
         "import matplotlib.pyplot as plt\n",
@@ -201,13 +201,6 @@
         "Download the MNIST dataset and save the files into a `data` directory locally.  Images and labels for both training and testing are downloaded."
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": []
-    },
     {
       "cell_type": "code",
       "execution_count": null,
diff --git a/tutorials/02.deploy-models.ipynb b/tutorials/02.deploy-models.ipynb
index 62bd287d..e2b93843 100644
--- a/tutorials/02.deploy-models.ipynb
+++ b/tutorials/02.deploy-models.ipynb
@@ -97,7 +97,7 @@
       },
       "outputs": [],
       "source": [
-        "%matplotlib inline\n",
+        "%matplotlib notebook\n",
         "import numpy as np\n",
         "import matplotlib\n",
         "import matplotlib.pyplot as plt\n",
@@ -480,7 +480,7 @@
         "test_samples = bytes(test_samples, encoding = 'utf8')\n",
         "\n",
         "# predict using the deployed model\n",
-        "result = json.loads(service.run(input_data=test_samples))\n",
+        "result = service.run(input_data=test_samples)\n",
         "\n",
         "# compare actual value vs. the predicted values:\n",
         "i = 0\n",