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Overview on Distributed Tensorflow Tensorflow Dev Summit 2018
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Overview on Distributed Tensorflow Tensorflow Dev Summit 2018

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 ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Derek Murray discusses tf.data, the recommended API for building input pipelines in We have seen tremendous advances in many different areas of machine learning. The use of

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 Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ... Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Cruise machine learning platform team worked with Google CMLE team together to enable Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ...