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Highlights from the 2017 TensorFlow Dev Summit
TensorFlow Dev Summit 2018 - Livestream
Serving Models in Production with TensorFlow Serving (TensorFlow Dev Summit 2017)
TensorFlow Dev Summit 2019 Livestream
TensorFlow at DeepMind (TensorFlow Dev Summit 2017)
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19)
Sequence Models and the RNN API (TensorFlow Dev Summit 2017)
TensorFlow High-Level APIs: Models in a Box (TensorFlow Dev Summit 2017)
TensorFlow Dev Summit 2020 Keynote
Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)
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Last Updated: October 18, 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 ... Serving is the process of applying a trained model in your application. In this talk, Noah Fiedel describes In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around In this talk, Eugene Brevdo discusses the creation of flexible and high-performance sequence-to-sequence models. He covers ... Cruise machine learning platform team worked with Google CMLE team together to enable
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