Adding documentation for docker in the README.

README.rst

@@ -108,10 +108,36 @@ You can configure the algorithm using the following parameters. Type ``python3 d
 2. Installation & Setup
 =======================
 
+2.a) Using Docker Image (recommended)
+-------------------------------
+
+The easiest way to get up-and-running is to `install Docker <https://www.docker.com/>`_. Then, you should be able to downloand and run the pre-built image using the `docker` command line tool.  Find out more about the `alexjc/neural-doodle` image on its `Docker Hub https://hub.docker.com/r/alexjc/neural-doodle/`_ page.
+
+The easiest way to run the script from the docker image is to setup an easy access command called `doodle`. This will automatically:
+
+* Mount the `frames` folder from the current directory into the instance for visualization.
+* Expose the `samples` folder from the current directory so the script can access files!
+
+This is how you can do it in your terminal console on OSX or Linux:
+
+..code bash::
+    # Setup the alias. Put this in your .bash_rc or .zshrc file so it's available at startup.
+    alias doodle="docker run -it alexjc/neural-doodle
+                         -v samples:/nd/samples -w /nd/samples
+                         -v frames:/nd/frames -w /nd/frames"
+    
+    # Now run any of the examples above using this alias, without the `.py` extension.
+    doodle --help
+
+*NOTE*: If you want to run on your NVIDIA GPU, you can instead use the image `alexjc/neural-doodle:gpu` which comes with CUDA and CUDNN pre-installed in the image.  See the scripts in `docker/*.sh` for how to setup your host machine. (advanced)
+
+
+2.b) Manual Installation (optional)
+-----------------------------------
+
 This project requires Python 3.4+ and you'll also need ``numpy`` and ``scipy`` (numerical computing libraries) as well as ``python3-dev`` installed system-wide.  If you want more detailed instructions, follow these:
 
-0. Use Prepared `Docker Container <https://github.com/alexjc/neural-doodle/issues/61>`_ or `Amazon Image <https://github.com/alexjc/neural-doodle/issues/54>`_ **(beginner)**
-1. `Linux Installation of Lasagne <https://github.com/Lasagne/Lasagne/wiki/From-Zero-to-Lasagne-on-Ubuntu-14.04>`_ **(recommended)**
+1. `Linux Installation of Lasagne <https://github.com/Lasagne/Lasagne/wiki/From-Zero-to-Lasagne-on-Ubuntu-14.04>`_ **(beginner)**
 2. `Mac OSX Installation of Lasagne <http://deeplearning.net/software/theano/install.html#mac-os>`_ **(intermediate)**
 3. `Windows Installation of Lasagne <https://github.com/Lasagne/Lasagne/wiki/From-Zero-to-Lasagne-on-Windows-7-%2864-bit%29>`_ **(expert)**
 

docker-cpu.df

@@ -29,12 +29,12 @@ RUN apt-get update -qq           &&  \
         "python3-networkx"          \
         "python3-tk"             &&  \
     rm -rf /var/lib/apt/lists/*  &&  \
-    python3 -m pip install "cython"
+    python3 -m pip -q install "cython"
 
 # Install requirements before copying project files
 WORKDIR /nd
 COPY requirements.txt .
-RUN python3 -m pip install -r "requirements.txt"
+RUN python3 -m pip -q install -r "requirements.txt"
 
 # Copy only required project files
 COPY doodle.py .

docker-gpu.df

@@ -30,12 +30,12 @@ RUN apt-get update -qq            && \
         "python3-networkx"          \
         "python3-tk"             &&  \
     rm -rf /var/lib/apt/lists/*  &&  \
-    python3 -m pip install "cython"
+    python3 -m pip -q install "cython"
 
 # Install requirements before copying project files
 WORKDIR /nd
 COPY requirements.txt .
-RUN python3 -m pip install -r "requirements.txt"
+RUN python3 -m pip -q install -r "requirements.txt"
 
 # Copy only required project files
 COPY doodle.py .