TFX: Production ML pipelines with TensorFlow (TF World '19)

ML development often focuses on metrics, delaying work on deployment and scaling issues. ML development designed for production deployments typically follows a pipeline model, with scaling and maintainability as inherent parts of the design. We examine TensorFlow Extended (TFX), the open source version of the ML infrastructure platform that Google has developed for its own production ML pipelines.

Presented by: Robert Crowe, Charles Chen

View the website →

#TFWorld All Sessions →
Subscribe to the TensorFlow channel →

Source of this TensorFlow AI Video

AI video(s) you might be interested in …