title: How to deploy trained tensorflow network on e.g. Raspberry Pi
body: <p>I'm trying to make a simple gesture recognition system to use with my Raspberry Pi equipped with a camera. I would like to train a neural network with tensorflow on my more powerful laptop and then transfer it to the RPi for prediction (as part of a <a href="https://magicmirror.builders/" rel="nofollow noreferrer">Magic Mirror</a>). Is there a way to export the trained network and weights and use a lightweight version of tensorflow for the linear algebra and prediction without the overhead of all the symbolic graph machinery that are necessary for training? I have seen the tutorials on tensorflow server, but I'd rather not set up a server and just have it run the prediction on the RPi.</p>