diff --git a/06_MLP_Coursework2_Introduction.ipynb b/06_MLP_Coursework2_Introduction.ipynb
index 0fd7d79..b2637f1 100644
--- a/06_MLP_Coursework2_Introduction.ipynb
+++ b/06_MLP_Coursework2_Introduction.ipynb
@@ -14,7 +14,7 @@
     "\n",
     "## Syncing the git repository\n",
     "\n",
-    "Look <a href=\"https://github.com/CSTR-Edinburgh/mlpractical/blob/master/gitFAQ.md\">here</a> for more details. But in short, we recommend to create a separate branch for this lab, as follows:\n",
+    "Look <a href=\"https://github.com/CSTR-Edinburgh/mlpractical/blob/master/gitFAQ.md\">here</a> for more details. But in short, we recommend to create a separate branch for the coursework, as follows:\n",
     "\n",
     "1. Enter the mlpractical directory `cd ~/mlpractical/repo-mlp`\n",
     "2. List the branches and check which are currently active by typing: `git branch`\n",
@@ -94,7 +94,7 @@
     "* `numpy.rollaxis` - allows to shuffle certain axis in a tensor\n",
     "* `slice` - allows to specify a range (can be used when indexing numpy arrays)\n",
     "* `ellipsis` - allows to pick an arbitrary number of dimensions (inferred)\n",
-    "* `max_and_argmax` - `(mlp.layers)` - an auxiliary function we have provided to get both max and argmax of a tensor across an arbitrary axes, possibly in the format preserving tensor's original shape (this is not trivial to do using numpy out-of-the-shelf functionality).\n",
+    "* `max_and_argmax` - `(mlp.layers)` - an auxiliary function we have provided to get both max and argmax of a tensor across an arbitrary axes, possibly in the format preserving tensor's original shape (this is not trivial to do using numpy *out-of-the-shelf* functionality).\n",
     "\n",
     "Below cells contain some simple examples showing basics behind tensor manipulation in numpy (go through them if you haven't used numpy in this context before)."
    ]