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Introduction on Tensorflow Dev Summit 2018 Highlights
Important Facts
Recent Updates
Video Highlights & Reports
Conclusion

Introduction on Tensorflow Dev Summit 2018 Highlights

We have seen tremendous advances in many different areas of machine learning. The use of Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs). Edd Wilder-James announces a new set of mailing lists to help communication and coordination, the expansion of the SIG ... Getting the most out of Machine Learning models requires careful tuning of many knobs. In this short talk, Vijay Vasudevan ... Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Derek Murray discusses tf.data, the recommended API for building input pipelines in

Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ... Alex Irpan discusses real-world robot learning. In the past, research has shown that with enough real world robot data, we can ... Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around In 2016, Coca-Cola updated its core loyalty marketing program to a mobile-first web platform. The program requires consumers to ... If you missed out on any of the announcements from the inaugural