diff --git a/notebooks/tutorial/tutorial.ipynb b/notebooks/tutorial/tutorial.ipynb
index 769bae2..2b83273 100644
--- a/notebooks/tutorial/tutorial.ipynb
+++ b/notebooks/tutorial/tutorial.ipynb
@@ -334,9 +334,9 @@
     "num_classes = y_train_binary.shape[1]\n",
     "metric = 'accuracy'\n",
     "models = mcfly.modelgen.generate_models(X_train.shape,\n",
-    "                                  number_of_classes=num_classes,\n",
-    "                                  number_of_models = 2,\n",
-    "                                       metrics=[metric])"
+    "                                        number_of_output_dimensions=num_classes,\n",
+    "                                        number_of_models = 2,\n",
+    "                                        metrics=[metric])"
    ]
   },
   {
@@ -765,9 +765,8 @@
     " `cd mcfly/html`\n",
     "\n",
     "\n",
-    "- Start a web server. This can be done in various ways, for example:\n",
-    " - for python 3 you can use: `python3 -m http.server`\n",
-    " - for python 2 you can use: `python2 -m SimpleHTTPServer`\n",
+    "- Start a web server. This can be done with:\n",
+    " - `python3 -m http.server`\n",
     "\n",
     "Notice the port number the web server is serving on. This is usually 8000.\n",
     "With a web browser, navigate to [localhost:8000](localhost:8000). \n",
diff --git a/notebooks/tutorial/tutorial_quick.ipynb b/notebooks/tutorial/tutorial_quick.ipynb
index c45544b..f7e6a77 100644
--- a/notebooks/tutorial/tutorial_quick.ipynb
+++ b/notebooks/tutorial/tutorial_quick.ipynb
@@ -58,7 +58,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Download data pre-procesed data"
+    "## Download data pre-processed data"
    ]
   },
   {
@@ -112,7 +112,7 @@
     "\n",
     "The problem is to identify which sport and which stroke the players are making. The data was collected at a rate of 10 HZ over 3 seconds whilst the player played either a forehand/backhand in squash or a clear/smash in badminton.\n",
     "\n",
-    "The goal of classification is to assign an activity label to an previously unseen segment."
+    "The goal of classification is to assign an activity label to a previously unseen segment."
    ]
   },
   {
@@ -126,7 +126,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Load the preprocessed data as stored in Numpy-files. Please note that the data has already been split up in a training (\\~50%), validation (\\~25%), and test (\\~25%) subsets. It is common practice to call the input data X and the labels y."
+    "Load the preprocessed data as stored in Numpy-files. Please note that the data has already been split up into a training (\\~50%), validation (\\~25%), and test (\\~25%) subsets. It is common practice to call the input data X and the labels y."
    ]
   },
   {
@@ -200,7 +200,7 @@
    "metadata": {},
    "source": [
     "### Create binary labels\n",
-    "To train a classifier the labels need to be translated into binary labels (so called **one-hot encoding**)."
+    "To train a classifier the labels need to be translated into binary labels (so-called **one-hot encoding**)."
    ]
   },
   {
@@ -401,7 +401,7 @@
     "num_classes = y_train_binary.shape[1]\n",
     "metric = 'accuracy'\n",
     "models = mcfly.modelgen.generate_models(X_train.shape,\n",
-    "                                        number_of_classes=num_classes,\n",
+    "                                        number_of_output_dimensions=num_classes,\n",
     "                                        number_of_models = 8,\n",
     "                                        metrics=[metric])"
    ]