How to Deploy Keras Models to Production

We'll train an image classifier in Keras using a Tensorflow backend, then serve it to the browser using a super simple Flask backend. We can then deploy this flask app to google cloud using a few commands. Woot! Code for this video: https://github.com/llSourcell/how_to_deploy_a_keras_model_to_production Please subscribe! And like. And comment. That's what keeps me going. More learning resources: https://blog.keras.io/keras-as-a-simplified-interface-to-tensorflow-tutorial.html#exporting-a-model-with-tensorflow-serving http://machinelearningmastery.com/deploy-machine-learning-model-to-production/ https://news.ycombinator.com/item?id=13821217 https://www.quora.com/Should-keras-be-used-to-deploy-deep-learning-models-in-production 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: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/