Media Summary: Andrew Gasparovic and Jeremiah Harmsen dicuss TF Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to
Tensorflow Hub Tensorflow Dev Summit 2018 - Detailed Analysis & Overview
Andrew Gasparovic and Jeremiah Harmsen dicuss TF Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to 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 ... Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ... Derek Murray discusses tf.data, the recommended API for building input pipelines in We have seen tremendous advances in many different areas of machine learning. The use of Ian Langmore reconstructs plasma temperature, density, and B-field from measurements in partnership with tae.com. This is a ...
Generating input data, running distributed
