Workshop: Kubeflow explained

Kubeflow is a machine learning toolkit for Kubernetes.  The project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable, and scalable.
 
In this session Fatih will walk though;
(a)  A Kubernetes Engine cluster deployment with standard Kubeflow installation.
(b)  Training job that uses Tensorflow to generate a trained ML model.
(c)  Use of serving container that provides predictions.