Machine Learning with Microcontrollers Hack Chat

Daniel Konhauser12:21 PM are you leveraging transfer learning in these demos? Daniel Situnayake12:21 PM @Duncan our speech model that can detect "yes" or "no" is 20kb, our vision model that can detect the presence or absence of a person is 250kb. Pete Warden12:21 PM @Tara we're actually working on a book that has a chapter about setting up TF Lite for new devices. TF Lite Micro should be a lot easier to port than regular TF Lite too - http://shop.oreilly.com/product/0636920254508.do Meghna Natraj12:22 PM @Andres Manjarres Unfortunately no. 1) we train regular tensor flow models (and factor in micro controller constraints if possible- small model size, low latency) 2) convert it to a tensorflow lite model 3) run it on a microcontroller that we support. Pete Warden12:22 PM @Tara drop an email to petewarden@google.com and we might be able to send you a draft copy Dick Brooks12:23 PM Question: Do you plan to build a Deep Learning demo also?