Distributed Tensorflow Tensorflow Dev Summit 2018 Information Center
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Last Updated: June 10, 2026
Below is a handpicked selection of video coverage regarding Distributed Tensorflow Tensorflow Dev Summit 2018.

For 2026, Distributed Tensorflow Tensorflow Dev Summit 2018 remains one of the most talked-about profiles.

Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Derek Murray discusses tf.data, the recommended API for building input pipelines in Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to
Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ... Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Cruise machine learning platform team worked with Google CMLE team together to enable Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... We have seen tremendous advances in many different areas of machine learning. The use of
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