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shub91 · Feb 2, 2019 · f6584b2 · f6584b2
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diff --git a/README.md b/README.md
@@ -10,7 +10,7 @@ A neural network twisting and folding space as it classifies the moons dataset.
 
 <img src="https://storage.googleapis.com/applied-dl/moons.gif">
 
-Links: \[ [Jupyter Notebook](https://github.com/random-forests/applied-dl/blob/master/examples/twist_and_fold_moons.ipynb) \] [ [Colab](https://colab.research.google.com/github/random-forests/applied-dl/blob/master/examples/twist_and_fold_moons.ipynb) \]
+Links: \[ [Jupyter Notebook](https://github.com/random-forests/applied-dl/blob/master/examples/twist-and-fold-moons.ipynb) \] [ [Colab](https://colab.research.google.com/github/random-forests/applied-dl/blob/master/examples/twist-and-fold-moons.ipynb) \]
 
 ## Datasets
 

diff --git a/examples/quick-draw-loader.ipynb b/examples/quick-draw-loader.ipynb
@@ -18,9 +18,9 @@
       },
       "cell_type": "markdown",
       "source": [
-        "## Demonstrates how to read the Quick, Draw! dataset\n",
+        "# A loader for the Quick, Draw! dataset\n",
         "\n",
-        "Demonstrates reading the original files as a sequence of brush strokes, then converting those strokes to images. Use this loader to build a fun dataset for image classification (say, with a CNN), or you can modify it to write data in a format suitablable for an RNN."
+        "Shows how to read the original files (as a sequence of brush strokes), then converts those strokes to images. Use this loader to build a fun dataset for image classification (say, with a CNN), or modify it to write data in a format suitablable for an RNN."
       ]
     },
     {

diff --git a/examples/twist_and_fold_moons.ipynb → examples/twist-and-fold-moons.ipynb b/examples/twist_and_fold_moons.ipynb → examples/twist-and-fold-moons.ipynb