Media Summary: Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Sarah Sirajuddin and Andrew Selle discuss Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ...
Distributed Tensorflow Tensorflow Dev Summit 2018 - Detailed Analysis & Overview
Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Sarah Sirajuddin and Andrew Selle discuss Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... 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
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 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 Cruise machine learning platform team worked with Google CMLE team together to enable Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ...
