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Introduction to Project Magenta Tensorflow Dev Summit 2018
Important Facts
History
Video Highlights & Reports
Conclusion

Introduction to Project Magenta Tensorflow Dev Summit 2018

We have seen tremendous advances in many different areas of machine learning. The use of 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 ... Derek Murray discusses tf.data, the recommended API for building input pipelines in Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...

Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ... Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around