Online Program

Return to main conference page
Thursday, May 30
Data Science Techologies
Scaling Up Machine Learning to Production
Thu, May 30, 10:30 AM - 12:05 PM
Regency Ballroom AB
 

TFX: Production ML Pipelines with TensorFlow (306268)

*Robert Crowe, Google 

Keywords: machine learning, deep learning, artificial intelligence, open source, data science, TensorFlow, TFX, Apache Beam, ML pipelines, ML Ops, Dev Ops

Putting machine learning models into production is now mission critical for every business - no matter what size.

TensorFlow is the industry-leading platform for developing, modeling, and serving deep learning solutions. But putting together a complete pipeline for deploying and maintaining a production application of AI and deep learning is much more than training a model. Google has taken years of experience in developing production ML pipelines and offered the open source community TensorFlow Extended (TFX), an open source version of tools and libraries that Google uses internally.

Learn what’s involved in creating a production pipeline, and walk through working code in an example pipeline with experts from Google. You’ll be able to take what you learn and get started on creating your own pipelines for your applications.