Deep learning at scale: A field manual- Jason Knight (Intel)
799 views · Published 22 October 2018 · 2:39 · Indexed 3 October 2026
Channel: O'Reilly · 2018 · Science & Technology
There are many resources to help you get started with machine learning and deep learning. From hands-on tutorials highlighting pretrained models to accessible deep learning frameworks, AI practitioners have numerous tools to add to their workflow. However, when scaling up to larger training datasets and deployment scenarios, the path is not always clear. Jason Knight offers an overview of the state of the field for scaling training and inference across distributed systems from a practitioner’s point of view. Along the way, Jason dives deep into available tools, resources, and venues for getting started without having to go it alone. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
More from this channel
-
8:25
Carin Meier and Peter Shanley: "Real Time Robot Dance Party" - Solid 2014 Keynote
-
15:45
Beth Comstock: "The Machine Whisperers..." - Solid 2014 Keynote
-
20:05
Carl Bass & Tim O'Reilly: The Future of How Things are Made
-
6:48
Matthew Gardiner: "Folding = Coding for Matter" - Solid 2014 Keynote
-
9:25
Bootstrapping Design Culture - David Cranor - Solid 2014 Keynote
-
8:16
Steve Teixeira (Microsoft IoT) sit-down interview at Solid 2014
-
1:59
Vaughn Shinall & John Sigmier of Temboo interviewed at Solid 2014
-
2:39
Hannah Smalltree of Treasure Data interviewed at Solid 2014