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TensorFlow.js 1.0 (TF Dev Summit '19)
Eager Execution (TensorFlow Dev Summit 2018)
Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
TensorFlow Dev Summit 2020 Keynote
TensorFlow Dev Summit 2018 GDG Zhuhai review
Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
Real-World Robot Learning (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
Open Source Collaboration (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
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Last Updated: October 24, 2026
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Summary
Nikhil Thorat and Daniel Smilkov discuss Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to Chris Lattner and Richard Wei unveil Swift for Derek Murray discusses tf.data, the recommended API for building input pipelines in Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ... Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ... Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ...