Updated README (tensorflow#37)

Author: petewarden

README.md

@@ -1,17 +1,63 @@
-This repository will have the code (including examples) needed to use Tensorflow Lite Micro on an Arduino.
+# TensorFlow Lite Micro Library for Arduino
 
-# Build Status
+This repository has the code (including examples) needed to use Tensorflow Lite Micro on an Arduino.
+
+## Build Status
 
 Build Type          |     Status    |
 ---------------     | ------------- |
 Arduino CLI on Linux  | [![Arduino](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/ci.yml/badge.svg?event=schedule)](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/ci.yml)
 Sync from tflite-micro  | [![Sync from tflite-micro](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/sync.yml/badge.svg)](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/sync.yml)
 
-# Trying out the Code
+## How to Install
+
+### Arduino IDE
+
+The easiest way to install this library is through the Arduino's library manager.
+In the menus, go to Sketch->Include Library->Manage Libraries. This will pull
+the latest stable version.
+
+### GitHub
+
+If you want to install an in-development version of this library, you can use the
+latest version directly from this GitHub repository. This requires you clone the
+repo into the folder that holds libraries for the Arduino IDE. The location for
+this folder varies by operating system, but typically it's in
+`~/Arduino/libraries` on Linux, `~/Documents/Arduino/libraries/` on MacOS, and
+`My Documents\Arduino\Libraries` on Windows.
+
+Once you're in that folder in the terminal, you can then grab the code using the
+git command line tool:
+
+```bash
+git clone https://github.com/tensorflow/tflite-micro-arduino-examples Arduino_TensorFlowLite
+```
 
-To use the latest version of the TFLM Arduino examples directly from this GitHib
-repository, you can clone the repo into `~/Arduino/libraries` and then open up the
-TFLM examples in your Arduino IDE.
+### Checking your Installation
+
+Once the library has been installed, you should see an Arduino_TensorFlowLite
+entry in the File->Examples menu of the Arduino IDE. This submenu contains a list
+of sample projects you can try out.
 
 ![Hello World](docs/hello_world_screenshot.png)
 
+## Compatibility
+
+This library is designed for the Arduino Nano BLE Sense 33 board. The framework
+code for running machine learning models should be compatible with most Arm Cortex
+M-based boards, such as the Raspberry Pi Pico, but the code to access peripherals
+like microphones, cameras, and accelerometers is specific to the Nano.
+
+## License
+
+This code is made available under the Apache 2 license.
+
+## Contributing
+
+Forks of this library are welcome and encouraged. If you have bug reports or
+fixes to contribute, the source of this code is at [https:://github.com/tensorflow/tflite-micro](github.com/tensorflow/tflite-micro)
+and all issues and pull requests should be directed there.
+
+The code here is created through an automatic project generation process from
+that source of truth, since it's cross-platform and needs to be modified to
+work within the Arduino IDE.