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 the following notebooks:

Model development where we load the pretrained model and test it by using it to score images
Developing the interface our Flask app will use to load and call the model
Building the Docker Image with our Flask REST API and model
Testing our Docker image before deployment
Creating our Kubernetes cluster and deploying our application to it
Testing the deployed model
Testing the throughput of our model
Cleaning the resources used