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Distributed Processing and Components (TensorFlow Extended)
Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)
TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)
Inside TensorFlow: tf.distribute.Strategy
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
TensorFlow Tutorial 12 - TensorFlow Datasets
TensorFlow Enterprise: Productionizing TensorFlow with Google Cloud (TF Dev Summit '20)
Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
Using TensorFlow to enable research & production across many fields (TensorFlow Meets)
Mobile and Embedded TensorFlow (TensorFlow Dev Summit 2017)
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Last Updated: September 22, 2026
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Summary
Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... This talk demonstrates how to perform Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around In this video we look at the datasets that are available to us through The hardest part of ML adoption in enterprise is Productization. As we have seen in recent discussions around "ML Ops", there are ... Megan Kacholia is an Engineering Director on the Google Brain team, focusing on
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