Media Summary: 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 ... Sarah Sirajuddin and Andrew Selle discuss
Reconstructing Fusion Plasmas Tensorflow Dev Summit 2018 - Detailed Analysis & Overview
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 ... Sarah Sirajuddin and Andrew Selle discuss Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... 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 ...
Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... 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 Cory McLean announces the launch of Nucleus, a library of Python code for reading, writing, and filtering common genomics file ... We have seen tremendous advances in many different areas of machine learning. The use of Derek Murray discusses tf.data, the recommended API for building input pipelines in
Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ...
