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# Deploy ResNet 152 Tensorflow model on GPU enaled Kubernetes cluster
In this folder are the tutorials for deploying a Tensorflow model on a Kubernetes cluster.
The tutorial is made up of seven notebooks:
* [Model development](00_DevelopModel.ipynb) where we load the pretrained model and test it by using it to score images
* [Developing the interface](01_DevelopModelDriver.ipynb) our Flask app will use to load and call the model
* [Building the Docker Image](02_BuildImage.ipynb) with our Flask REST API and model
* [Testing our Docker image](03_TestLocally.ipynb) before deployment
* [Creating our Kubernetes cluster](04_DeployOnAKS.ipynb) and deploying our application to it
* [Testing the deployed model](05_TestWebApp.ipynb)
* [Testing the throughput](06_SpeedTestWebApp.ipynb) of our model