February 23, 2020

128 words 1 min read

Production ML pipelines with TensorFlow Extended (TFX)

Production ML pipelines with TensorFlow Extended (TFX)

Aurlien Gron dives into creating production ML pipelines with TensorFlow Extended (TFX) and using TFX to move from ML coding to ML engineering. You'll walk through the basics and put your first pipeline together, then learn how to customize TFX components and perform deep analysis of model performance.
Talk Title Production ML pipelines with TensorFlow Extended (TFX)
Speakers Aurélien Géron (Kiwisoft)
Conference O’Reilly TensorFlow World
Conf Tag
Location Santa Clara, California
Date October 28-31, 2019
URL Talk Page
Slides Talk Slides
Video

TFX is an end-to-end platform for deploying production ML pipelines. When you’re ready to move your models from research to production, use TFX to create and manage a production pipeline. You can deploy models to servers, mobile applications, or JavaScript with TFX. Day 1 Day 2

tensorflow ml javascript mobile pipeline
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