XLA: TensorFlow, Compiled! (TensorFlow Dev Summit 2017)

Video Channel
Please help us to find bad videos. Broken or unappropriated video content?
Speed is everything for effective machine learning, and XLA was developed to reduce training and inference time. In this talk, Chris Leary and Todd Wang describe how TensorFlow can make use of XLA, JIT, AOT, and other compilation techniques to minimize execution time and maximize computing resources.
Visit the TensorFlow website for all session recordings:
Subscribe to the Google Developers channel at
Fpvracer.lt is not the owner of this text/video/image/photo content, the real source of content is Youtube.com and user declared in this page publication as Youtube.com user, if you have any question about video removal, what was shared by open community, please contact Youtube.com directly or report bad/not working video links directly to video owner on Youtube.com. Removed video from Youtube.com will also be removed from here.