An introduction to MLOps with TensorFlow Extended (TFX) | C2C Community

An introduction to MLOps with TensorFlow Extended (TFX)

  • 2 June 2022
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Machine Learning (ML) model code accounts for approximately 5% of the total code needed to train, deploy, and run ML models in production according to Google research. The goal of MLOps is a production-level process, similar to DevOps, but with data as a first-class citizen. 

 

Robert Crowe, Tensorflow Developer Engineer, introduces TFX, an open-source project, in this 13 minutes I/O 2022 video. If you are interested in getting started with MLOps, this video is for you.

https://io.google/2022/program/8f7765f2-2357-4829-8c87-e54d81e999a0/


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Great post @MarkusK, thanks for sharing!

I remember back in 2019 when I first heard about the TFX Platform at the TensorFlow Dev Summit.

Glad to see all these changes.

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