Update download location for wget instructions

Author: samjabrahams

README.md

@@ -34,11 +34,11 @@ Next, download the wheel file from this repository and install it:
 
 ```shell
 # For Python 2.7
-$ wget https://github.com/samjabrahams/tensorflow-on-raspberry-pi/raw/master/bin/tensorflow-0.11.0-cp27-none-linux_armv7l.whl
+$ wget https://github.com/samjabrahams/tensorflow-on-raspberry-pi/releases/download/v0.11.0/tensorflow-0.11.0-cp27-none-linux_armv7l.whl
 $ sudo pip install tensorflow-0.11.0-cp27-none-linux_armv7l.whl
 
 # For Python 3.3+
-$ wget https://github.com/samjabrahams/tensorflow-on-raspberry-pi/raw/master/bin/tensorflow-0.11.0-py3-none-any.whl
+$ wget https://github.com/samjabrahams/tensorflow-on-raspberry-pi/releases/download/v0.11.0/tensorflow-0.11.0-py3-none-any.whl
 $ sudo pip3 install tensorflow-0.11.0-py3-none-any.whl
 ```
 
@@ -88,7 +88,7 @@ _Or: people who did most of the actual work._
 
 While we may have just gotten RPi TensorFlow compiled properly in the last few days (with the most recent grunt work done by myself and @petewarden), this effort has been going on for almost as long as TensorFlow has been open-source, and involves work that spans multiple months in separate codebases. This is an incomprehensive list of people and their work I ran across while working on this.
 
-The majority of the source-building guide is a modified version of [these instructions for compiling TensorFlow on a Jetson TK1](http://cudamusing.blogspot.com/2015/11/building-tensorflow-for-jetson-tk1.html). Massimiliano, you are the real MVP.
+The majority of the source-building guide is a modified version of [these instructions for compiling TensorFlow on a Jetson TK1](http://cudamusing.blogspot.com/2015/11/building-tensorflow-for-jetson-tk1.html). Massimiliano, you are the real MVP. _Note: the TK1 guide was [updated on June 17, 2016](http://cudamusing.blogspot.com/2016/06/tensorflow-08-on-jetson-tk1.html)_
 
 @vmayoral put a huge amount of time and effort trying to put together the pieces to build TensorFlow, and was the first to get something close to a working binary.