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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More learning resources:
https://www.tensorflow.org/deploy/tfserve
https://medium.com/osldev-blog/tensorflow-serving-practical-introduction-9ce29ccd63f
https://tensorflow.github.io/serving/serving_basic.html
https://gist.github.com/avloss/01e43d208fbdb2c5b4f9b50e71617cc8
https://github.com/tensorflow/serving
http://fdahms.com/2017/03/05/tensorflow-serving-jvm-client/
https://books.google.com/books?id=rsyqDQAAQBAJ&pg=PA159&lpg=PA159&dq=tensorflow+serving+tutorial&source=bl&ots=7NaS-3V6sr&sig=UmnIPMM5djXAwidPyneWD7P667w&hl=en&sa=X&ved=0ahUKEwiw-J6uq5nUAhUph1QKHX5ZBdoQ6AEImgEwFA#v=onepage&q=tensorflow%20serving%20tutorial&f=false
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