How to Deploy a Tensorflow Model to Production

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-... Please subscribe! And like. And comment. That's what keeps me going. More learning resources: https://www.tensorflow.org/deploy/tfs...   / tensorflow-serving-practical-introduction   https://tensorflow.github.io/serving/... https://gist.github.com/avloss/01e43d... https://github.com/tensorflow/serving http://fdahms.com/2017/03/05/tensorfl... https://books.google.com/books?id=rsy... Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter:   / sirajraval   Facebook:   / sirajology   Instagram:   / sirajraval   Instagram:   / sirajraval   Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz