Fix references

Author: curiousily

01.getting-started-with-pytorch.ipynb

@@ -889,7 +889,16 @@
         "\n",
         "## Conclusion\n",
         "\n",
-        "Welcome to the dark side! You might've been working with Keras, TensorFlow, or another Deep Learning framework, until recently. Almost every framework is great, but PyTorch has really solid roots. Easy to use and understand, allows for fast experimentation and standard debugging tools apply! Enjoy!\n",
+        "Welcome to the dark side! You might've been working with Keras, TensorFlow, or another Deep Learning framework, until recently. Almost every framework is great, but PyTorch has really solid roots. Easy to use and understand, allows for fast experimentation and standard debugging tools apply! Enjoy!"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "wAt2CDnYjAc4",
+        "colab_type": "text"
+      },
+      "source": [
         "## References\n",
         "\n",
         "- [\"PyTorch: A Modern Library for Machine Learning\" with Adam Paszke](https://www.youtube.com/watch?v=5bSAipCNqXo)\n",

manuscript/01.getting-started-with-pytorch.md

@@ -237,6 +237,8 @@ PyTorch is very descriptive in this case. When doing more complex stuff, you wou
 ## Conclusion
 
 Welcome to the dark side! You might've been working with Keras, TensorFlow, or another Deep Learning framework, until recently. Almost every framework is great, but PyTorch has really solid roots. Easy to use and understand, allows for fast experimentation and standard debugging tools apply! Enjoy!
+
+
 ## References
 
 - ["PyTorch: A Modern Library for Machine Learning" with Adam Paszke](https://www.youtube.com/watch?v=5bSAipCNqXo)