TFX: Production ML Pipelines with TensorFlow
TFX: Production ML Pipelines with TensorFlow

Abstract: 

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.

Bio: 

Alex Davies works on the Sciences team at DeepMind, and previously worked in the applied machine learning team in Google, supporting product teams in their use of machine learning, TensorFlow and TFX.

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