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.