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). Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
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). Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Sarah Sirajuddin and Andrew Selle discuss Derek Murray discusses tf.data, the recommended API for building input pipelines in
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 ... Alex Passos discusses Eager Execution, which provides a simpler, more intuitive interface to The hardest part of ML adoption in enterprise is Productization. As we have seen in recent discussions around "ML Ops", there are ... In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ... In this talk we'll go over some interesting features of TF which are useful when doing research. Speaker: Alexandre Passos ...
