KubeCon + CloudNativeCon North America 2019

With deep learning gaining popularity in industry, there is a lot of material focusing on model training and serving. However, in production machine learning typically isn't complete after a single round of training. Model owners need to find ways to improve trained models regularly, and good machine learning pipelines achieve this by leveraging continuous feedback.

In this talk, we will demonstrate how Kubeflow and Kubeflow Pipelines are being used to continuously improve computer vision models at Snapchat. We will walkthrough how we orchestrate multiple components with Kubeflow Pipelines to extract data, label images, and (re)train machine learning models. We will also discuss best practices for authoring Kubeflow Pipeline components based on our experiences from developing and deploying these components for production use.