TensorFlow Lite for Microcontrollers (TF Dev Summit '20)

TensorFlow Lite for Microcontrollers or TFLite Micro is designed to run machine learning models on microcontrollers and other embedded devices. The key advantages are low energy consumption, small size, network connectivity is not required, privacy by running inference on-device and a large scale impact as billions of microcontrollers are embedded within hardware every year. Speakers: Meghna Natraj - Software Engineer Pete Warden - Staff Software Engineer Jason Mayes - Senior Developer Advocate Here are some resources to get started: Advanced resources: event: TensorFlow Dev Summit 2020; re_ty: Publish; product: TensorFlow - TensorFlow Lite; fullname: Jason Mayes, Pete Warden;