TensorFlow Tutorial

https://github.com/JRMeyer/tensorflow-tutorial

Two of our members, Michael Capizzi and Josh Meyer, have kindly offered to present a tutorial on Google’s recently open-sourced deep learning library, TensorFlow.

Connect ( http://connectcoworking.com/ ) is right next to the Rialto. Parking at the garage on Toole and Broadway is probably the cheapest, or street parking with meters. The night of the meetup, the gate to the right of the main entrance will be open with a sign for the Data Scientists group. Bring your laptop!

Please have tensorflow installed BEFORE arriving. Instructions for Linux and Mac can be found here:
https://www.tensorflow.org/versions/v0.6.0/get_started/os_setup.html
Note: pip install is the easiest route.
Windows is a bit more challenging. You’ll need to install Docker, which will run a virtual environment. All the instructions can be found in this blog post:
http://www.netinstructions.com/how-to-install-and-run-tensorflow-on-a-windows-pc/
Note: You may not see the $ symbol as they describe here. I saw a strange combination of root and a bunch of letters. But you WILL need to run the command docker run -it b.gcr.io/tensorflow/tensorflow every time you wish to run tensorflow. Then type python and import tensorflow (import tensorflow as tf) and you are good to go!

blog: http://jrmeyer.github.io/tutorial/2016/02/01/TensorFlow-Tutorial.html (http://jrmeyer.github.io/)

repo: https://github.com/JRMeyer/tensorflow-tutorial

tensorflow examples: https://github.com/michaelcapizzi/TensorFlow-Examples