Google I/O 2019 | TensorFlow Extended: Machine Learning Pipelines and Model Understanding

This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing a TFX pipeline and a discussion of current topics in model understanding.

 

Speakers: Kevin Haas , Tulsee Doshi , Konstantinos Katsiapis

Session ID: T02F52

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