Tuesday, November 19 • 3:20pm - 3:55pm
Towards Continuous Computer Vision Model Improvement with Kubeflow - Derek Hao Hu & Yanjia Li, Snap Inc.

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
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.


Derek Hao Hu

Software Engineer, Snap Inc.
Derek Hao Hu is a software engineer at Snap on the Perception team. He's been working on building machine learning infrastructure, components, pipelines and tools that power different types of computer vision experiences inside Snapchat.

Yanjia Li

Software Engineer, Snap Inc.
Yanjia Li is a Software Engineer on the Perception team of Snap. He has been working on the algorithms and systems behind various computer vision products in Snapchat. One of his focus areas is building the software to handle large-scale deep learning model training and inference... Read More →

Tuesday November 19, 2019 3:20pm - 3:55pm PST
Room 31ABC - San Diego Convention Center Upper Level