Wondering if anyone is interested in getting TensorFlow working with data from the Particle.io Photon. TensorFlow was released by Google near the start of November 2015. Here are a few links:

http://www.technologyreview.com/news/544356/heres-what-developers-are-doing-with-googles-ai-brain/

And an interesting review by other stake holders

Anyway. It has been about 20 years since I played with some simple neural networks, wonder if anyone else would like to take a stab at connecting a photon sensor output to TensorFlow input?

I think I can get TensorFlow working on cloud9 https://c9.io but would need a bit of help going through potential example programs to find something easy enough that I can understand it. Also it is mainly in Python which I never became expert at.

A starting point is the mnist dataset of simple digits. A repo is at https://github.com/sugyan/tensorflow-mnist and the example (which does not seem to work well is at https://tensorflow-mnist.herokuapp.com/ )

Draw a digit and see two different ways of analyzing the drawing (Simple and Convolutional).

Not really sure how we could use TensorFlow or any other AI machine with the Particle Photon, but I like the challenge of trying.