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Distributed TensorFlow (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
Eager Execution (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
TensorFlow Extended (TFX) and Metadata (TensorFlow Meets)
What exactly is this TFX thing (TensorFlow Extended)
Nucleus: TensorFlow toolkit for Genomics (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow Dev Summit 2018 - Livestream
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Last Updated: September 26, 2026
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Summary
Clemens Mewald and Raz Mathias present In this session the team introduced Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Derek Murray discusses tf.data, the recommended API for building input pipelines in Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to Introducing the first episode of the five part series on Real World Machine Learning in Production which will help you get to speed ... Cory McLean announces the launch of Nucleus, a library of Python code for reading, writing, and filtering common genomics file ... Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Sarah Sirajuddin and Andrew Selle discuss
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