Searching Over Ideas Tensorflow Dev Summit 2018

Summary

Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ... Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around We have seen tremendous advances in many different areas of machine learning. The use of Sarah Sirajuddin and Andrew Selle discuss Derek Murray discusses tf.data, the recommended API for building input pipelines in Many modern JavaScript frameworks render their HTML content on the client-side assuming that every environment that is ... Chris Lattner and Richard Wei unveil Swift for 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 Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ...