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Background to Open Source Collaboration Tensorflow Dev Summit 2018
Main Features
Recent Updates
Video Highlights & Reports
Final Thoughts

Background to Open Source Collaboration Tensorflow Dev Summit 2018

Edd Wilder-James announces a new set of mailing lists to help communication and We have seen tremendous advances in many different areas of machine learning. The use of Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). 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 Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...

Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Derek Murray discusses tf.data, the recommended API for building input pipelines in Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ... Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in