June 18-21, 2019
Beijing, CN
Pete Warden

Pete Warden
Technical Lead, Google

Pete Warden is the technical lead of the mobile and embedded TensorFlow Group on Google’s Brain team.


10:0510:20 Thursday, June 20, 2019
英文讲话 (Presented in English)
Location: 紫金大厅A(Grand Hall A)
Pete Warden (Google)
There are over 250 billion embedded devices in the world. On-device machine learning gives us the ability to turn wasted data into actionable information and will enable a massive number of new applications over the next few years. Pete Warden digs into why embedded machine learning is so important, how to implement it on existing chips, and some of the new use cases it will unlock. Read more.
14:0014:40 Thursday, June 20, 2019
英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B)
Pete Warden (Google)
Average rating: *****
(5.00, 2 ratings)
Pete Warden explains how to use Google's open source framework to run machine learning models on embedded processors like microcontrollers and DSPs. Discover what you need to get started using the code itself, including hardware, coding tools, and getting the library built. Read more.