In this folder are the tutorials for deploying a Keras model (with Tensorflow backend) 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