Distributed Tensorflow Tensorflow Dev Summit 2018

Summary

Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... 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 Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Sarah Sirajuddin and Andrew Selle discuss Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... To efficiently train machine learning models, you will often need to scale your training to multiple GPUs, or even multiple machines ... Chris Lattner and Richard Wei unveil Swift for This talk demonstrates how to perform Cory McLean announces the launch of Nucleus, a library of Python code for reading, writing, and filtering common genomics file ... Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ... We have seen tremendous advances in many different areas of machine learning. The use of