Managing ML Pipelines in TensorFlow Extended with Hannes Hapke

In this Salon, Hannes Hapke gets down to brass tacks on ML ops: versioning, integrating, serving, and tracking machine learning models at scale, all enabled by TensorFlow extended.

This presentation was part of our bi-weekly Virtual Deep Learning Salon!

Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning:

Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices.

Weights and Biases makes developer tools for machine learning: record and visualize every detail of your research, collaborate easily, advance the state of the art - we’re always free for academics and open source projects.