Remove protobuf, update README

Author: samjabrahams

README.md

@@ -6,7 +6,9 @@ If you find the binaries and instructions in this repository useful, [please con
 
 ## Intro
 
-_We did it!_ It took a lot of head-banging and several indirect passings-of-the-torch, but we finally got TensorFlow compiled and running properly on the Raspberry Pi! Hopefully this will enable more hardware-based machine learning projects, as well as making the distributed aspects of TensorFlow more accessible.
+If you're looking to run [fully featured TensorFlow](https://github.com/tensorflow/tensorflow) or [Bazel](https://github.com/bazelbuild/bazel) on a Raspberry Pi 3, you're in the right place. This repo contains step-by-step instructions for installing TensorFlow from source using Bazel (which is also compiled from-scratch), as well as pre-built TensorFlow binaries.
+
+_As a quick note, if you're looking for officially supported TensorFlow/Raspberry Pi functionality, you can also check out using the [Makefile contrib module](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/makefile). It builds a static C++ library instead of the standard Python library, but is very powerful._
 
 ### Contents
 
@@ -108,9 +110,7 @@ There are numerous single-board computers available on the market, but binaries
 
 ## Credits
 
-_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.
+While the final pieces of grunt work were done primarily 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. _Note: the TK1 guide was [updated on June 17, 2016](http://cudamusing.blogspot.com/2016/06/tensorflow-08-on-jetson-tk1.html)_
 
@@ -127,8 +127,6 @@ _Issue threads of interest:_
 
 ## License
 
-The file TENSORFLOW_LICENSE applies to any and all files in the `bin` directory, which are compiled Python wheels for TensorFlow.
-
 Subdirectories contained within the `third_party` directory each contain relevant licenses for the code and software within those subdirectories.
 
 The file LICENSE applies to other files in this repository. I want to stress that a majority of the lines of code found in the guide of this repository was created by others. If any of those original authors want more prominent attribution, please contact me and we can figure out how to make it acceptable.