John Etchemendy, Provost Emeritus, and Patrick Suppes Family Professor in the School of Humanities and Sciences, Stanford University; Co-Director, Stanford Institute for Human-Centered Artificial Intelligence Fei-Fei Li, Sequoia Professor, Computer Science Department; Co-Director, Stanford Institute for Human-Centered Artificial Intelligence Rob Reich, Professor of Political Science, Stanford University; Associate Director, HAI
Marietje Schaake, Dutch member of the European Parliament (2009-19) Eric Schmidt, Technical Advisor, Alphabet Inc.
Ryan Abbott, Professor of Law and Health Sciences, University of Surrey School of Law; Adjunct Assistant Professor of Medicine, David Geffen School of Medicine, UCLA Mark Lemley, William H. Neukom Professor of Law and Director of the Stanford Program in Law, Science and Technology, Stanford Law School, Stanford University Lisa Ouellette, Associate Professor, Stanford Law School, Stanford University James Pooley, PLC
In this session, Developer Advocate Khanh LeViet (@khanhlvg) talks about TensorFlow Lite, the framework that brings ML to mobile and embedded systems. You’ll learn about the differences between ML on a supercomputer and ML on a portable device, and the tools and technologies that Google has developed to allow you to bring your work to mobile devices without reinventing the wheel. We’ll cover the basics and also special subjects like TinyML and model optimization and quantization. Learn more about TensorFlow Lite → TensorFlow Lite example apps → TensorFlow Lite for Microcontrollers → Robotic vacuum cleaner powered by TF → Check out more TF Fall 2020 updates → Subscribe to TensorFlow → #tensorflowupdates
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