Tensorflow Dev Summit 2018 Highlights

Summary

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 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 ... Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Mustafa Ispir discusses high level APIs which let ML practitioners do many more modeling experiments with only a few lines of ... 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 Sarah Sirajuddin and Andrew Selle discuss Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to