Published on April 8, 2018 by

Once we’ve trained a model, we need a way of deploying it to a server so we can use it as a web or mobile app! We’re going to use the Tensorflow Serving library to help us run a model on a server that we can then make HTTP requests to for data. We’ll have the user upload an image and it will return a classification for that image.

Code for this video:
https://github.com/llSourcell/How-to-Deploy-a-Tensorflow-Model-in-Production

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