Update README.md

README.md

@@ -92,7 +92,7 @@ Then, install this module from pypi using `pip3` (or `pip2` for Python 2):
 pip3 install face_recognition
 ```
 
-Alternatively, you can try this library with [Docker](https://www.docker.com/), see [this section](##Deployment to Cloud Hosts (Heroku, AWS, etc))
+Alternatively, you can try this library with [Docker](https://www.docker.com/), see [this section](#deployment).
 
 If you are having trouble with installation, you can also try out a
 [pre-configured VM](https://medium.com/@ageitgey/try-deep-learning-in-python-now-with-a-fully-pre-configured-vm-1d97d4c3e9b).
@@ -360,7 +360,7 @@ depending on a black box library, [read my article](https://medium.com/@ageitgey
   up children quite easy using the default comparison threshold of 0.6.
 * Accuracy may vary between ethnic groups. Please see [this wiki page](https://github.com/ageitgey/face_recognition/wiki/Face-Recognition-Accuracy-Problems#question-face-recognition-works-well-with-european-individuals-but-overall-accuracy-is-lower-with-asian-individuals) for more details.
 
-## Deployment to Cloud Hosts (Heroku, AWS, etc)
+## <a name="deployment">Deployment to Cloud Hosts (Heroku, AWS, etc)</a>
 
 Since `face_recognition` depends on `dlib` which is written in C++, it can be tricky to deploy an app
 using it to a cloud hosting provider like Heroku or AWS.