Distributed Tensorflow Tensorflow Dev Summit 2017 Information Center
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Introduction to Distributed Tensorflow Tensorflow Dev Summit 2017
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 Cruise machine learning platform team worked with Google CMLE team together to enable In this talk, Daniel Visentin from the DeepMind Applied team talks about DeepMind and Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... In this talk we'll go over some interesting features of TF which are useful when doing research. Speaker: Alexandre Passos ...
Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ...
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Distributed TensorFlow (TensorFlow Dev Summit 2017)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
TensorFlow Ecosystem: Integrating TensorFlow with your infrastructure (TensorFlow Dev Summit 2017)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
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Last Updated: June 2, 2026
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