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