Media Summary: We have seen tremendous advances in many different areas of machine learning. The use of Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
Tensorflow Dev Summit 2018 Recap Video - Detailed Analysis & Overview
We have seen tremendous advances in many different areas of machine learning. The use of Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). 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 ... In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ...
Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ... Derek Murray discusses tf.data, the recommended API for building input pipelines in Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Sarah Sirajuddin and Andrew Selle discuss Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... This talk presents a profiler that Google internally uses to investigate TF performance on platforms including GPU, TPU, and CPU.
