diff --git a/README.md b/README.md
index 1742dcd..e98ea18 100644
--- a/README.md
+++ b/README.md
@@ -11,7 +11,7 @@ This is not an official Google product.
 
 ## CREDITS
 
-Built by [Yotam Mann](https://github.com/tambien) with friends on the Magenta and Creative Lab teams at Google. It uses [Tone.js] (https://github.com/Tonejs/Tone.js) and open-source tools from the [Magenta](https://github.com/tensorflow/magenta) project. Check out more at [A.I. Experiments] (https://aiexperiments.withgoogle.com).
+Built by [Yotam Mann](https://github.com/tambien) with friends on the Magenta and Creative Lab teams at Google. It uses [Tone.js](https://github.com/Tonejs/Tone.js) and open-source tools from the [Magenta](https://github.com/tensorflow/magenta) project. Check out more at [A.I. Experiments](https://aiexperiments.withgoogle.com).
 
 ## OVERVIEW
 
@@ -19,6 +19,8 @@ A.I. Duet is composed of two parts, the front-end which is in the 'static' folde
 
 ## DOCKER
 
+[Docker](https://www.docker.com/) is an open-source containerization software which simplifies installation across various OSes. It is the simplest method to build and install both the front-end and back-end components. Once you have Docker installed, you can just run: 
+
 ```bash
 $ sudo docker build -t ai-duet .
 $ sudo docker run -t -p 8080:8080 ai-duet
@@ -28,7 +30,7 @@ You can now play with A.I. Duet at [localhost:8080](http://localhost:8080).
 
 ## FRONT END
 
-To build the client-side javascript, first install [node](https://nodejs.org) and [webpack](https://webpack.github.io/). Then you can install of the dependencies of the project by typing the following in the terminal: 
+If you installed with Docker, the front-end has already been built. To build the client-side javascript outside of Docker, first install [node](https://nodejs.org) and [webpack](https://webpack.github.io/). Then you can install of the dependencies of the project by typing the following in the terminal: 
 
 ```bash
 cd static
@@ -43,6 +45,8 @@ webpack -p
 
 ### BACK END
 
+If you installed with Docker, the these dependencies have already been installed. To build the back-end separately, follow these instructions: 
+
 The back-end consists of a [Flask](http://flask.pocoo.org/) server, [TensorFlow](https://www.tensorflow.org/) and [Magenta](https://github.com/tensorflow/magenta). 
 
 First install [TensorFlow](https://www.tensorflow.org/versions/master/get_started/os_setup.html) and [Magenta](https://github.com/tensorflow/magenta#installation).